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"title": "Evaluation of Liver Shape Approximation and Characterization",
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"abstract": "A computational framework is presented for 3-D liver shape approximation and characterization in order to determine the accuracy of shape reconstruction via Spherical Harmonics expansion. Spherical Harmonics is a powerful mathematical tool for expanding the shape. But in medical domain, livers have very variation geometry, in shape, size, and volume. In this regards, we evaluated and optimized the Spherical Harmonics to create 3-D parametric surface of the liver from Computed Tomography (CT) imaging system which may useful for Shape modeling, surface representation, physical measurement of objects and mathematical model. We select randomly 5 livers from more 100 dataset. Mean Hausdorff distance Errors and Dice similarity coefficient DSC by liver volumes was measured. The experimental results showed that the best order of Spherical Harmonics Expansion for livers is between 12~17.",
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"fullName": "Farshid Babapour Mofrad",
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"title": "2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops",
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"doi": "10.1109/ICCVW.2009.5457434",
"title": "Shape-Colour Histograms for matching 3D video sequences",
"normalizedTitle": "Shape-Colour Histograms for matching 3D video sequences",
"abstract": "Most 3D object retrieval and matching methods only consider geometric similarity. This paper introduces a novel descriptor, Shape-Colour Histograms, to match objects with similar shape and appearance. This is motivated by the requirement to concatenate captured 3D video sequences for animation production. A quantitative evaluation based on the Receiver-Operator Characteristic (ROC) curve is presented to compare the performance of conventional 3D shape descriptors and new shape-colour descriptors with temporal filtering in the task to match 3D video sequences. 3D shape descriptors including Shape Histogram, LightField are considered. Evaluation shows that filtered Shape-Colour Histograms outperform descriptors using shape only. Finally, temporal Shape-Colour Histograms are applied to a publically available database of 3D video of people to identify optimal transitions and synthesize 3D character animation. Results demonstrate the accurate matching of surface shape, appearance and motion at transition points.",
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"content": "Most 3D object retrieval and matching methods only consider geometric similarity. This paper introduces a novel descriptor, Shape-Colour Histograms, to match objects with similar shape and appearance. This is motivated by the requirement to concatenate captured 3D video sequences for animation production. A quantitative evaluation based on the Receiver-Operator Characteristic (ROC) curve is presented to compare the performance of conventional 3D shape descriptors and new shape-colour descriptors with temporal filtering in the task to match 3D video sequences. 3D shape descriptors including Shape Histogram, LightField are considered. Evaluation shows that filtered Shape-Colour Histograms outperform descriptors using shape only. Finally, temporal Shape-Colour Histograms are applied to a publically available database of 3D video of people to identify optimal transitions and synthesize 3D character animation. Results demonstrate the accurate matching of surface shape, appearance and motion at transition points.",
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"normalizedAbstract": "Most 3D object retrieval and matching methods only consider geometric similarity. This paper introduces a novel descriptor, Shape-Colour Histograms, to match objects with similar shape and appearance. This is motivated by the requirement to concatenate captured 3D video sequences for animation production. A quantitative evaluation based on the Receiver-Operator Characteristic (ROC) curve is presented to compare the performance of conventional 3D shape descriptors and new shape-colour descriptors with temporal filtering in the task to match 3D video sequences. 3D shape descriptors including Shape Histogram, LightField are considered. Evaluation shows that filtered Shape-Colour Histograms outperform descriptors using shape only. Finally, temporal Shape-Colour Histograms are applied to a publically available database of 3D video of people to identify optimal transitions and synthesize 3D character animation. Results demonstrate the accurate matching of surface shape, appearance and motion at transition points.",
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"affiliation": "Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, GU2 7YW, UK",
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"affiliation": "Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, GU2 7YW, UK",
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"proceeding": {
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"title": "1993 (4th) International Conference on Computer Vision",
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"article": {
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"doi": "10.1109/ICCV.1993.378146",
"title": "Shape from texture from a multi-scale perspective",
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"abstract": "The problem of scale in shape from texture is addressed. The need for two scale parameters is emphasized: a local scale, for describing the amount of smoothing used for suppressing noise and irrelevant details when computing primitive texture descriptors from image data; and an integration scale, for describing the size of the region in space over which the statistics of the local descriptors is accummulated. The proposed computational model is expressed completely in terms of different invariants defined from Gaussian derivatives at multiple scales in scale-space. The resulting texture description can be combined with various assumptions about surface texture to estimate local surface orientation. Two specific assumptions, weak isotropy and constant area, are explored in more detail. Results from experiments on real and synthetic reference data with known geometry that demonstrate the viability of the approach are presented.<>",
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"content": "The problem of scale in shape from texture is addressed. The need for two scale parameters is emphasized: a local scale, for describing the amount of smoothing used for suppressing noise and irrelevant details when computing primitive texture descriptors from image data; and an integration scale, for describing the size of the region in space over which the statistics of the local descriptors is accummulated. The proposed computational model is expressed completely in terms of different invariants defined from Gaussian derivatives at multiple scales in scale-space. The resulting texture description can be combined with various assumptions about surface texture to estimate local surface orientation. Two specific assumptions, weak isotropy and constant area, are explored in more detail. Results from experiments on real and synthetic reference data with known geometry that demonstrate the viability of the approach are presented.<>",
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"Image Recognition",
"Multiscale Perspective",
"Shape From Texture",
"Two Scale Parameters",
"Local Scale",
"Primitive Texture Descriptors",
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"Integration Scale",
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"Local Surface Orientation",
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"Shape",
"Smoothing Methods",
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"Computer Vision",
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"affiliation": "Comput. Vision & Active Perception Lab., R. Inst. of Technol., Stockholm, Sweden",
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"affiliation": "Comput. Vision & Active Perception Lab., R. Inst. of Technol., Stockholm, Sweden",
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"title": "2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)",
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"doi": "10.1109/ICMCCE48743.2019.00021",
"title": "Formation and Migration of Hot Water Mass in the Waterbody of Jiaozhou Bay",
"normalizedTitle": "Formation and Migration of Hot Water Mass in the Waterbody of Jiaozhou Bay",
"abstract": "Based on the survey on the waterbody of Jiaozhou Bay in May, June, July, August, September and October of 1980, the authors studied the horizontal distribution of surface layer and regional variation of temperature of the waterbody of Jiaozhou Bay. The results show that the water temperature of Jiaozhou Bay in May, June, July, August, September and October range from 10.80 to 26.53 degrees, and the temperature in August rose to the peak. From May to August, the temperature variation generally showed a rising trend. From May to June, the high temperature zone moved from the northern coastal area to the western part of the inner bay mouth. From July to August, the high temperature zone migrated from the northern coastal water to the western area inside the Bay mouth. From September and October, the temperature variation generally showed a declining trend and the high temperature zones gathered in the water outside the Bay mouth. Yang Dongfang put forward the concept \"hot water mass\", which is defined as the waterbody of an area hotter than the surrounding area inside a waterbody, also known as \"Yang Dongfang hot water mass\". In May, the atmosphere and the sun transported heat to the surface of Jiaozhou Bay, and a hot water mass formed in and around the northern coastal water. By June, tidal and current movements brought the hot water mass to the deep water area in the west of the Bay mouth. In July, a hot water mass formed in the northern coastal water. By August, the hot water mass migrated to the western water inside the Bay mouth. From September to October, the high temperature zone is located in the outer water of Jiaozhou Bay, and there is no hot water mass.",
"abstracts": [
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"content": "Based on the survey on the waterbody of Jiaozhou Bay in May, June, July, August, September and October of 1980, the authors studied the horizontal distribution of surface layer and regional variation of temperature of the waterbody of Jiaozhou Bay. The results show that the water temperature of Jiaozhou Bay in May, June, July, August, September and October range from 10.80 to 26.53 degrees, and the temperature in August rose to the peak. From May to August, the temperature variation generally showed a rising trend. From May to June, the high temperature zone moved from the northern coastal area to the western part of the inner bay mouth. From July to August, the high temperature zone migrated from the northern coastal water to the western area inside the Bay mouth. From September and October, the temperature variation generally showed a declining trend and the high temperature zones gathered in the water outside the Bay mouth. Yang Dongfang put forward the concept \"hot water mass\", which is defined as the waterbody of an area hotter than the surrounding area inside a waterbody, also known as \"Yang Dongfang hot water mass\". In May, the atmosphere and the sun transported heat to the surface of Jiaozhou Bay, and a hot water mass formed in and around the northern coastal water. By June, tidal and current movements brought the hot water mass to the deep water area in the west of the Bay mouth. In July, a hot water mass formed in the northern coastal water. By August, the hot water mass migrated to the western water inside the Bay mouth. From September to October, the high temperature zone is located in the outer water of Jiaozhou Bay, and there is no hot water mass.",
"__typename": "ArticleAbstractType"
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],
"normalizedAbstract": "Based on the survey on the waterbody of Jiaozhou Bay in May, June, July, August, September and October of 1980, the authors studied the horizontal distribution of surface layer and regional variation of temperature of the waterbody of Jiaozhou Bay. The results show that the water temperature of Jiaozhou Bay in May, June, July, August, September and October range from 10.80 to 26.53 degrees, and the temperature in August rose to the peak. From May to August, the temperature variation generally showed a rising trend. From May to June, the high temperature zone moved from the northern coastal area to the western part of the inner bay mouth. From July to August, the high temperature zone migrated from the northern coastal water to the western area inside the Bay mouth. From September and October, the temperature variation generally showed a declining trend and the high temperature zones gathered in the water outside the Bay mouth. Yang Dongfang put forward the concept \"hot water mass\", which is defined as the waterbody of an area hotter than the surrounding area inside a waterbody, also known as \"Yang Dongfang hot water mass\". In May, the atmosphere and the sun transported heat to the surface of Jiaozhou Bay, and a hot water mass formed in and around the northern coastal water. By June, tidal and current movements brought the hot water mass to the deep water area in the west of the Bay mouth. In July, a hot water mass formed in the northern coastal water. By August, the hot water mass migrated to the western water inside the Bay mouth. From September to October, the high temperature zone is located in the outer water of Jiaozhou Bay, and there is no hot water mass.",
"fno": "468900a055",
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"Marine Pollution",
"Oceanographic Regions",
"Seawater",
"Water Quality",
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"Jiaozhou Bay",
"Water Temperature",
"Temperature Variation",
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"Northern Coastal Water",
"Concept Hot Water Mass",
"Yang Dongfang Hot Water Mass",
"Deep Water Area",
"Western Water",
"Ocean Temperature",
"Mouth",
"Sea Measurements",
"Sea Surface",
"Tides",
"Temperature Distribution",
"Water Heating",
"Water Temperature",
"Horizontal Distribution",
"Hot Water Mass",
"Migration",
"Jiaozhou Bay"
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"authors": [
{
"affiliation": "Xijing University",
"fullName": "Dongfang Yang",
"givenName": "Dongfang",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xijing University",
"fullName": "Longlei Zhang",
"givenName": "Longlei",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xijing University",
"fullName": "Dong Yang",
"givenName": "Dong",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xijing University",
"fullName": "Qi Wang",
"givenName": "Qi",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xijing University",
"fullName": "Haixia Li",
"givenName": "Haixia",
"surname": "Li",
"__typename": "ArticleAuthorType"
}
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{
"proceeding": {
"id": "1kesumCiLUA",
"title": "2020 International Conference on Computer Engineering and Application (ICCEA)",
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"article": {
"id": "1kesyCTHFmM",
"doi": "10.1109/ICCEA50009.2020.00130",
"title": "The Change Process of PHC Content from Sources in Water Bodies",
"normalizedTitle": "The Change Process of PHC Content from Sources in Water Bodies",
"abstract": "Based on the investigation data of Jiaozhou Bay in May, August and October, 1992, the variation of PHC content in the surface and bottom layers and the deposition process were studied. According to the definition and model of Content Change Angle of Dongfang Yang, the calculation results show that in the surface water, the Content Change Angle of Dongfang Yang is - 0.34° from May to August, and 0.28° from August to October. In the bottom water, from May to August, the Content Change Angle of Dongfang Yang is - 0.91°, and from August to October, the Content Change Angle of Dongfang Yang is 0.22°.According to the scale of time and space, in May, the oil spills transported PHC content to Jiaozhou Bay, but in August, there was no PHC content from any sources. From May to August, PHC content decreased slowly and to a relatively low level. In October, open seas currents transported PHC content to Jiaozhou Bay. From August to October, PHC content increased slowly and to a higher level. After PHC content passed through the water body, from May to August, the settling PHC content in bottom increased slowly and the increase was relatively small. From August to October, the settling PHC content in bottom increased a little slowly. Therefore, the author puts forward the change process of the material content transported from sources in water bodies: when materials are transported to a water body from sources, the material content in the surface of the water body will rise faster than that in the bottom, and the material content in both the surface and the bottom will start to rise slowly. When materials are not transported to a water body from sources, the material content in the bottom of the water body will decline faster than that in the surface of the water body, and the material content in both the surface water body and the bottom water body will begin to decline slowly.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Based on the investigation data of Jiaozhou Bay in May, August and October, 1992, the variation of PHC content in the surface and bottom layers and the deposition process were studied. According to the definition and model of Content Change Angle of Dongfang Yang, the calculation results show that in the surface water, the Content Change Angle of Dongfang Yang is - 0.34° from May to August, and 0.28° from August to October. In the bottom water, from May to August, the Content Change Angle of Dongfang Yang is - 0.91°, and from August to October, the Content Change Angle of Dongfang Yang is 0.22°.According to the scale of time and space, in May, the oil spills transported PHC content to Jiaozhou Bay, but in August, there was no PHC content from any sources. From May to August, PHC content decreased slowly and to a relatively low level. In October, open seas currents transported PHC content to Jiaozhou Bay. From August to October, PHC content increased slowly and to a higher level. After PHC content passed through the water body, from May to August, the settling PHC content in bottom increased slowly and the increase was relatively small. From August to October, the settling PHC content in bottom increased a little slowly. Therefore, the author puts forward the change process of the material content transported from sources in water bodies: when materials are transported to a water body from sources, the material content in the surface of the water body will rise faster than that in the bottom, and the material content in both the surface and the bottom will start to rise slowly. When materials are not transported to a water body from sources, the material content in the bottom of the water body will decline faster than that in the surface of the water body, and the material content in both the surface water body and the bottom water body will begin to decline slowly.",
"__typename": "ArticleAbstractType"
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"normalizedAbstract": "Based on the investigation data of Jiaozhou Bay in May, August and October, 1992, the variation of PHC content in the surface and bottom layers and the deposition process were studied. According to the definition and model of Content Change Angle of Dongfang Yang, the calculation results show that in the surface water, the Content Change Angle of Dongfang Yang is - 0.34° from May to August, and 0.28° from August to October. In the bottom water, from May to August, the Content Change Angle of Dongfang Yang is - 0.91°, and from August to October, the Content Change Angle of Dongfang Yang is 0.22°.According to the scale of time and space, in May, the oil spills transported PHC content to Jiaozhou Bay, but in August, there was no PHC content from any sources. From May to August, PHC content decreased slowly and to a relatively low level. In October, open seas currents transported PHC content to Jiaozhou Bay. From August to October, PHC content increased slowly and to a higher level. After PHC content passed through the water body, from May to August, the settling PHC content in bottom increased slowly and the increase was relatively small. From August to October, the settling PHC content in bottom increased a little slowly. Therefore, the author puts forward the change process of the material content transported from sources in water bodies: when materials are transported to a water body from sources, the material content in the surface of the water body will rise faster than that in the bottom, and the material content in both the surface and the bottom will start to rise slowly. When materials are not transported to a water body from sources, the material content in the bottom of the water body will decline faster than that in the surface of the water body, and the material content in both the surface water body and the bottom water body will begin to decline slowly.",
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"keywords": [
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"Oceanographic Regions",
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"Oil Pollution",
"Change Process",
"Water Body",
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"Dongfang Yang",
"Settling PHC Content",
"Material Content",
"Sea Surface",
"Water Resources",
"Rivers",
"Water Pollution",
"Surface Treatment",
"Standards",
"The Model Of Content Change Angle",
"Transportation From Sources",
"PHC Content",
"Temporal And Spatial Change",
"Jiaozhou Bay"
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"authors": [
{
"affiliation": "Shanghai Ocean University,College of Information,Shanghai,China,201306",
"fullName": "Yu Chen",
"givenName": "Yu",
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{
"affiliation": "Shanghai Ocean University,College of Information,Shanghai,China,201306",
"fullName": "Chenjing Zhang",
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{
"affiliation": "Shanghai Ocean University,College of Information,Shanghai,China,201306",
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{
"affiliation": "Shanghai Ocean University,College of Life Science,Shanghai,China,201306",
"fullName": "Dongfang Yang",
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"abstract": "To ensure the quality of traditional Chinese medicine is a key task for manufacturers of traditional Chinese medicine. In this paper, a novel method based on an improved trend balanced genetic algorithm is used for blending optimization in order to ensure the quality of traditional Chinese medicine. Our newly designed genetic algorithm is composed of 4 operators including a trend crossover operator, a trend mutation operator, a trend balance operator and a trend selection operator based on our trend balanced theory. In the experiment, our trend balanced genetic algorithm is more accurate and efficient than those of traditional genetic algorithm and non-linear least square method.",
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"title": "2012 11th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)",
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"abstract": "Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) is usually applied to small-scale basic research studies of complex genetic diseases that are associated with single nucleotide polymorphisms (SNPs). Before performing PCR-RFLP for SNP genotyping, the feasible primer pair and the available restriction enzymes for discriminating the target SNP are required. This is a tedious and time-consuming task when using manual search without any computer assisting. Genetic Algorithm (GA) has been widely applied to many fields and yielded good solutions. However, in many used GAs, the number of generations are usually fixed and make them are inefficient in determining their adequate terminations. In this paper, we use GA with an adaptive stopping criterion to implement the PCR-RFLP primer design. The different numbers of generations are used to perform the PCR-RFLP primer design, and the adaptive generations are also observed and discussed.",
"abstracts": [
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"content": "Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) is usually applied to small-scale basic research studies of complex genetic diseases that are associated with single nucleotide polymorphisms (SNPs). Before performing PCR-RFLP for SNP genotyping, the feasible primer pair and the available restriction enzymes for discriminating the target SNP are required. This is a tedious and time-consuming task when using manual search without any computer assisting. Genetic Algorithm (GA) has been widely applied to many fields and yielded good solutions. However, in many used GAs, the number of generations are usually fixed and make them are inefficient in determining their adequate terminations. In this paper, we use GA with an adaptive stopping criterion to implement the PCR-RFLP primer design. The different numbers of generations are used to perform the PCR-RFLP primer design, and the adaptive generations are also observed and discussed.",
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"normalizedAbstract": "Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) is usually applied to small-scale basic research studies of complex genetic diseases that are associated with single nucleotide polymorphisms (SNPs). Before performing PCR-RFLP for SNP genotyping, the feasible primer pair and the available restriction enzymes for discriminating the target SNP are required. This is a tedious and time-consuming task when using manual search without any computer assisting. Genetic Algorithm (GA) has been widely applied to many fields and yielded good solutions. However, in many used GAs, the number of generations are usually fixed and make them are inefficient in determining their adequate terminations. In this paper, we use GA with an adaptive stopping criterion to implement the PCR-RFLP primer design. The different numbers of generations are used to perform the PCR-RFLP primer design, and the adaptive generations are also observed and discussed.",
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"affiliation": "Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Taiwan",
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"proceeding": {
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"title": "2018 IEEE International Conference on Information Reuse and Integration (IRI)",
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"title": "Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms",
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"abstract": "Deep neural networks such as Convolutional Neural Networks (CNNs) have achieved several significant milestones in visual data analytics. Benefited from transfer learning, many researchers use pre-trained CNN models to accelerate the training process. However, there is still uncertainty about the deep learning models, structures, and applications. For instance, the diversity of the datasets may affect the performance of each pre-trained model. Therefore, in this paper, we proposed a new approach based on genetic algorithms to select or regenerate the best pre-trained CNN models for different visual datasets. A new genetic encoding model is presented which denotes different pre-trained models in our population. During the evolutionary process, the optimal genetic code that represents the best model is selected, or new competitive individuals are generated using the genetic operations. The experimental results illustrate the effectiveness of the proposed framework which outperforms several existing approaches in visual data classification.",
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"content": "Deep neural networks such as Convolutional Neural Networks (CNNs) have achieved several significant milestones in visual data analytics. Benefited from transfer learning, many researchers use pre-trained CNN models to accelerate the training process. However, there is still uncertainty about the deep learning models, structures, and applications. For instance, the diversity of the datasets may affect the performance of each pre-trained model. Therefore, in this paper, we proposed a new approach based on genetic algorithms to select or regenerate the best pre-trained CNN models for different visual datasets. A new genetic encoding model is presented which denotes different pre-trained models in our population. During the evolutionary process, the optimal genetic code that represents the best model is selected, or new competitive individuals are generated using the genetic operations. The experimental results illustrate the effectiveness of the proposed framework which outperforms several existing approaches in visual data classification.",
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"normalizedAbstract": "Deep neural networks such as Convolutional Neural Networks (CNNs) have achieved several significant milestones in visual data analytics. Benefited from transfer learning, many researchers use pre-trained CNN models to accelerate the training process. However, there is still uncertainty about the deep learning models, structures, and applications. For instance, the diversity of the datasets may affect the performance of each pre-trained model. Therefore, in this paper, we proposed a new approach based on genetic algorithms to select or regenerate the best pre-trained CNN models for different visual datasets. A new genetic encoding model is presented which denotes different pre-trained models in our population. During the evolutionary process, the optimal genetic code that represents the best model is selected, or new competitive individuals are generated using the genetic operations. The experimental results illustrate the effectiveness of the proposed framework which outperforms several existing approaches in visual data classification.",
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"abstract": "Airport information weak current system is the core of airport terminal, which is responsible for information interaction, power resource and energy consumption management among subsystems of airport terminal. Meanwhile, it is also responsible for main business dispatch management of entire airport terminal. Therefore, starting with basic ant colony algorithm and considering respective advantages of genetic and ant colony algorithms, optimization cycle of the two algorithms is introduced multiple times in this paper. Moreover, after each loop iteration of ant colony algorithm, optimal solution generated by ant colony algorithm will be added to genetic algorithm so that iterative speed of genetic algorithm can be accelerated. Meanwhile, solution calculated by genetic algorithm will be set to better path to update pheromone allocation in ant colony algorithm and achieve parameter adjustment. Experimental test proves that geneticant colony hybrid algorithm proposed in this paper has good convergence and solution efficiency, which can find the shortest path with suitable conditions in complex road networks.",
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"affiliation": "Airport planning and design Institute, AVIC CAPDI,Beijing,China,100120",
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"abstract": "Research on secure multi-party computation is of great interest in the field of information security. To determine convex hull algorithm for planar point set or polygons may be applied in a large number of research fields, and at present, there are a lot of methods to solve this problem. In this paper, a protocol is schemed out to determine a line by two secret points. The method is applied to determine the whole convex hull of two secret planar point sets. The corresponding security and complexity are analysed.",
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"abstract": "Capturing real motions from video sequences is a powerful method for automatic building of facial articulation models. In this paper, we propose an explanation-based facial motion tracking algorithm based on a piecewise B?zier volume deformation model (PBVD). The PBVD is a suitable model both for the synthesis and the analysis of facial images. It is linear and independent of the facial mesh structure. With this model, basic facial movements, or action units, are interactively defined. By changing the magnitudes of these action units, animated facial images are generated. The magnitudes of these action units can also be computed from real video sequences using a model-based tracking algorithm. However, in order to customize the articulation model for a particular face, the predefined PBVD action units need to be adaptively modified. In this paper, we first briefly introduce the PBVD model and its application in facial animation. Then a multiresolution PBVD-based motion tracking algorithm is presented. Finally, we describe an explanation-based tracking algorithm that takes the predefined action units as the initial articulation model and adaptively improves them during the tracking process to obtain a more realistic articulation model. Experimental results on PBVD-based animation, model-based tracking, and explanation-based tracking are shown in this paper.",
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"abstract": "Managing the patient information in the health care has been developed and improved through different manners such as web pages, computer applications, database servers, etc. Based on available problems from the literature review, system requirements and user requirement, this research analyzes the available problem of the current system in different health care system such as those available in Hospital of university Malaya and Hospital of University Kebangsaan Malaysia. The result of this analyses is a computer application called (A Web based Integrated Health Care Management System), that manages the patient information history (personal information, medical information, treatment information, payment information, and appointment information) with the easiest method and sturdy security. In addition, this computer application gives the patient the opportunity to use the system online and confirm their own appointments by themselves a matter that saves the time and effort of both the patient and the nurse. Moreover, by this computer application patient will be able to check the status of their appointment and doctor availability online.",
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"abstract": "The health and medical institutes and hospitals are facing several challenges in the short and long term, i.e. demographic changes, demands on improving quality, limited resources and cost requirements. To cope with these challenges, the health care sector needs to become more efficient, while maintaining and improving the quality of care. Efficient and transparent information flow across the whole system plays a key role even in this context. Being able to analyze the patient flows as the first step will provide the possibility to more efficiently manage medical resources and better serve incoming patients. In this work, we have developed a web-based portal for interactive analysis of patient flow data to assist hospital authorities to improve and optimize the time and quality of the provided services. The developed tool facilitates short and long term optimization of resource allocation by analyzing the past, as well as current, patient flows, identifying bottlenecks and exploring the reasons for the occurred waiting times.",
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"abstract": "Due to their simplicity triangle meshes are often used to represent geometric surfaces. Their main drawback is the large number of triangles that are required to represent a smooth surface. This problem has been addressed by a large number of mesh simplification algorithms which reduce the number of triangles and approximate the initial mesh. Hierarchical triangle mesh representations provide access to a triangle mesh at a desired resolution, without omitting any information. In this paper we present an infrastructure for mesh decimation, geometric mesh smoothing, and interactive multiresolution editing of arbitrary unstructured triangle meshes. In particular, we will demonstrate how mesh reduction and geometric mesh smoothing can be combined to provide a powerful and numerically efficient multiresolution smoothing and editing paradigm.",
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"content": "Due to their simplicity triangle meshes are often used to represent geometric surfaces. Their main drawback is the large number of triangles that are required to represent a smooth surface. This problem has been addressed by a large number of mesh simplification algorithms which reduce the number of triangles and approximate the initial mesh. Hierarchical triangle mesh representations provide access to a triangle mesh at a desired resolution, without omitting any information. In this paper we present an infrastructure for mesh decimation, geometric mesh smoothing, and interactive multiresolution editing of arbitrary unstructured triangle meshes. In particular, we will demonstrate how mesh reduction and geometric mesh smoothing can be combined to provide a powerful and numerically efficient multiresolution smoothing and editing paradigm.",
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"affiliation": "Max-Planck-Institute for Computer Science",
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"abstract": "We presented a set of methods for registration of preoperative CT data set to intra-operative X-ray images in minimally invasive image-guided spinal surgery. The registration procedure is composed of two steps. Firstly, a rough registration using a variant form of Iterative Closest Point algorithm is adopted to get an overlapped area. Secondly, the fine registration is performed based on gradient projection features. In this step, we introduce a similarity measure of CT gradient projections and use genetic algorithm combined with Powell’s maximization method as optimization strategy, which is able to increase the precision of the registration. The successive registration rate achieves 92% and 81% respectively on simulation data and clinical phantom research. The experimental results show that proposed method is suitable for clinical application with good robustness.",
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"abstract": "Although the expectation maximization (EM)-based 3D computed tomography (CT) reconstruction algorithm lowers radiation exposure, its long execution time hinders practical usage. To accelerate this process, we introduce a novel external memory bandwidth reduction strategy by reusing both the sinogram and the voxel intensity. Also, a customized computing engine based on field-programmable gate array (FPGA) is presented to increase the effective memory bandwidth. Experiments on actual patient data show that 85X speedup can be achieved over single-threaded CPU.",
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"abstract": "Computed Tomography (CT) reconstruction is a fundamental component to a wide variety of applications ranging from security, to healthcare. The classical techniques require measuring projections, called sinograms, from a full 180° view of the object. However, obtaining a full-view is not always feasible, such as when scanning irregular objects that limit flexibility of scanner rotation. The resulting limited angle sinograms are known to produce highly artifact-laden reconstructions with existing techniques. In this paper, we propose to address this problem using CTNet - a system of 1D and 2D convolutional neural networks, that operates directly on a limited angle sinogram to predict the reconstruction. We use the x-ray transform on this prediction to obtain a \"completed\" sinogram, as if it came from a full 180° view. We feed this to standard analytical and iterative reconstruction techniques to obtain the final reconstruction. We show with extensive experimentation on a challenging real world dataset that this combined strategy outperforms many competitive baselines. We also propose a measure of confidence for the reconstruction that enables a practitioner to gauge the reliability of a prediction made by CTNet. We show that this measure is a strong indicator of quality as measured by the PSNR, while not requiring ground truth at test time. Finally, using a segmentation experiment, we show that our reconstruction also preserves the 3D structure of objects better than existing solutions.",
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"abstract": "In the domain of smart city applications, anomalistic crowd investigation in public places is a crucial task for the efficient management of unforeseen crowds. Many of the current approaches for crowd monitoring utilize physical sensor-based tracking (e.g., cellular signals, cameras, RFID beacons) to detect abrupt crowds. Unfortunately, these solutions are highly application-specific and are able to only detect the mere presence of crowds without determining their causes that may reveal the actual story behind gatherings that occur suddenly. In this paper, we explore the opportunity to meld two complementary sensing paradigms: social sensing and unmanned aerial vehicle (UAV)-based physical sensing to scrutinize abrupt crowd events occurring in public places. However, two technical challenges exist in developing our solution: i) handling the data sparsity across social sensing platforms and within video footage from UAVs; and ii) the accurate inference of the cause of crowd events from the collected data. To address these challenges, we develop Unravel, an intelligent social airborne sensing (SAS) framework that leverages interdisciplinary techniques from natural language processing (NLP), object recognition, and estimation theory for a comprehensive anomalistic crowd investigation. The evaluation results with a real-world anomalous crowd instance dataset show that the Unravel framework outperforms the state-of-the-art baselines in accurately validating the existence of anomalistic crowd instances in public areas and deriving their causes.",
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"content": "This paper describes the design and implementation of an artificial force display for immersive projection displays (IPD) such as CAVE or CABIN. In order to give the user maximum freedom of motion in the large virtual space generated by an IPD, it is necessary to use a portable force display that is self-contained on the user's body. Therefore, we developed a wearable force display called HapticGEAR. It is a backpack-type device that transmits applied forces to the wearer by using a wire-tension mechanism. The device is designed such that it minimizes fatigue for the wearer; and does not interrupt the user's motion and view. Also, we integrated the device into CABIN and evaluated the accuracy it achieved in tracing objects and the displayed haptic sensation experimentally.",
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"affiliation": "The University of Tokyo",
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"affiliation": "The University of Tokyo",
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"abstract": "Head mounted display (HMD) is an important part of the virtual reality (VR) system and the main interface of virtual world. During the process of using HMD, there is a certain time gap between the user's movement and the triggered change of display, which is referred to herein as a \" Motion-to- Photon \" latency. The latency may cause cybersickness which has an adverse effect on user experience and even physical health, so it is necessary to evaluate the latency of an HMD. We propose an automated and universal HMD latency measurement system. By simulating a user's motion, we are able to measure \"Motion-to-Photon\" latency using the generated periodic signals in HMD, with accuracy and reliability confirmed by our experiments. The system is fully automatic and easy to use, and suitable for the HMD with inside-out or outside-in positioning methods. It helps to improve both the detection level of existing HMDs and the user experience. It is of guiding significance for the design and manufacture of new HMD.",
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"content": "Head mounted display (HMD) is an important part of the virtual reality (VR) system and the main interface of virtual world. During the process of using HMD, there is a certain time gap between the user's movement and the triggered change of display, which is referred to herein as a \" Motion-to- Photon \" latency. The latency may cause cybersickness which has an adverse effect on user experience and even physical health, so it is necessary to evaluate the latency of an HMD. We propose an automated and universal HMD latency measurement system. By simulating a user's motion, we are able to measure \"Motion-to-Photon\" latency using the generated periodic signals in HMD, with accuracy and reliability confirmed by our experiments. The system is fully automatic and easy to use, and suitable for the HMD with inside-out or outside-in positioning methods. It helps to improve both the detection level of existing HMDs and the user experience. It is of guiding significance for the design and manufacture of new HMD.",
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"proceeding": {
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"title": "2020 International Conference on Innovation Design and Digital Technology (ICIDDT)",
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"title": "Research of interactive experience display of child safety seats based on Mixed Reality technology",
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"abstract": "Product display in the process of innovative design is an important means of communication between design teams. In this paper, the interactive experience display of products based on Mixed Reality technology is taken as the research object, and the child safety seat is taken as an example to realize the interaction between designers and the designed products by means of gesture recognition and eye tracking provided by Microsoft HoloLens2.Then the human-computer interaction theory is used to construct the user experience evaluation index system. A reliable evaluation method is formed by combining AHP and fuzzy comprehensive evaluation method, and interactive experience evaluation is carried out by taking MR display of child safety seats as an example. The research results show that the user experience satisfaction of display system based on MR is relatively high. The evaluation indexes and evaluation methods constructed in this study can play a guiding role in the display design of MR products.",
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{
"abstractType": "Regular",
"content": "Product display in the process of innovative design is an important means of communication between design teams. In this paper, the interactive experience display of products based on Mixed Reality technology is taken as the research object, and the child safety seat is taken as an example to realize the interaction between designers and the designed products by means of gesture recognition and eye tracking provided by Microsoft HoloLens2.Then the human-computer interaction theory is used to construct the user experience evaluation index system. A reliable evaluation method is formed by combining AHP and fuzzy comprehensive evaluation method, and interactive experience evaluation is carried out by taking MR display of child safety seats as an example. The research results show that the user experience satisfaction of display system based on MR is relatively high. The evaluation indexes and evaluation methods constructed in this study can play a guiding role in the display design of MR products.",
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"normalizedAbstract": "Product display in the process of innovative design is an important means of communication between design teams. In this paper, the interactive experience display of products based on Mixed Reality technology is taken as the research object, and the child safety seat is taken as an example to realize the interaction between designers and the designed products by means of gesture recognition and eye tracking provided by Microsoft HoloLens2.Then the human-computer interaction theory is used to construct the user experience evaluation index system. A reliable evaluation method is formed by combining AHP and fuzzy comprehensive evaluation method, and interactive experience evaluation is carried out by taking MR display of child safety seats as an example. The research results show that the user experience satisfaction of display system based on MR is relatively high. The evaluation indexes and evaluation methods constructed in this study can play a guiding role in the display design of MR products.",
"fno": "036700a367",
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"Gesture Recognition",
"Road Safety",
"Seats",
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"Child Safety Seat",
"Mixed Reality Technology",
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"affiliation": "Jiangsu University,Digital Media Technology,Zhenjiang,China",
"fullName": "Wenli Zhang",
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"affiliation": "Jiangsu University,Digital Media Technology,Zhenjiang,China",
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"proceeding": {
"id": "12OmNB8Cj92",
"title": "2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)",
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"title": "HDR2014 - A high dynamic range image quality database",
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"abstract": "High dynamic range (HDR) imaging has attracted a lot of attention and enthusiasm in the last decades. With the quick advances of sensor technologies, even consumer level digital cameras are capable of capturing HDR images. However, a vast majority of nowadays displays still only have 8-bit color depth, and this leads to the widely studied topic of displaying HDR images on low dynamic range (LDR) devices or tone mapping. On the other hand, the recent emergence of 10-bit display devices brings the possibility of direct visualization of HDR images. So a natural question to ask is whether existing popular image quality metrics designed for and validated on LDR (8-bit) images perform equally well for HDR (10-bit) images. In this paper we propose a new and dedicated High Dynamic Range image quality database (HDR2014). That database is composed of 192 images with four kinds of distortions applied on 6 reference images. More specifically, we use 8 distortion levels for the artifacts of JPEG/JPEG2000 compression, white noise injection and Gaussian blurring. Twenty-five inexperienced viewers were involved in the subjective viewing test. Images were displayed on a pair of carefully calibrated 8-bit LDR and 10-bit HDR monitors and the subjective scores on both of which were recorded. We then tested some ubiquitous and state-of-the-art IQA metrics on the HDR2014 database. Experimental results show that HDR monitor indeed improved perceptual quality of the visual stimuli, as compared to LDR ones. And several existing IQA metrics are still doing well on HDR images, yet performance of some metrics drop significantly.",
"abstracts": [
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"content": "High dynamic range (HDR) imaging has attracted a lot of attention and enthusiasm in the last decades. With the quick advances of sensor technologies, even consumer level digital cameras are capable of capturing HDR images. However, a vast majority of nowadays displays still only have 8-bit color depth, and this leads to the widely studied topic of displaying HDR images on low dynamic range (LDR) devices or tone mapping. On the other hand, the recent emergence of 10-bit display devices brings the possibility of direct visualization of HDR images. So a natural question to ask is whether existing popular image quality metrics designed for and validated on LDR (8-bit) images perform equally well for HDR (10-bit) images. In this paper we propose a new and dedicated High Dynamic Range image quality database (HDR2014). That database is composed of 192 images with four kinds of distortions applied on 6 reference images. More specifically, we use 8 distortion levels for the artifacts of JPEG/JPEG2000 compression, white noise injection and Gaussian blurring. Twenty-five inexperienced viewers were involved in the subjective viewing test. Images were displayed on a pair of carefully calibrated 8-bit LDR and 10-bit HDR monitors and the subjective scores on both of which were recorded. We then tested some ubiquitous and state-of-the-art IQA metrics on the HDR2014 database. Experimental results show that HDR monitor indeed improved perceptual quality of the visual stimuli, as compared to LDR ones. And several existing IQA metrics are still doing well on HDR images, yet performance of some metrics drop significantly.",
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"normalizedAbstract": "High dynamic range (HDR) imaging has attracted a lot of attention and enthusiasm in the last decades. With the quick advances of sensor technologies, even consumer level digital cameras are capable of capturing HDR images. However, a vast majority of nowadays displays still only have 8-bit color depth, and this leads to the widely studied topic of displaying HDR images on low dynamic range (LDR) devices or tone mapping. On the other hand, the recent emergence of 10-bit display devices brings the possibility of direct visualization of HDR images. So a natural question to ask is whether existing popular image quality metrics designed for and validated on LDR (8-bit) images perform equally well for HDR (10-bit) images. In this paper we propose a new and dedicated High Dynamic Range image quality database (HDR2014). That database is composed of 192 images with four kinds of distortions applied on 6 reference images. More specifically, we use 8 distortion levels for the artifacts of JPEG/JPEG2000 compression, white noise injection and Gaussian blurring. Twenty-five inexperienced viewers were involved in the subjective viewing test. Images were displayed on a pair of carefully calibrated 8-bit LDR and 10-bit HDR monitors and the subjective scores on both of which were recorded. We then tested some ubiquitous and state-of-the-art IQA metrics on the HDR2014 database. Experimental results show that HDR monitor indeed improved perceptual quality of the visual stimuli, as compared to LDR ones. And several existing IQA metrics are still doing well on HDR images, yet performance of some metrics drop significantly.",
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"affiliation": "Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong Univ., China, 200240",
"fullName": "Min Liu",
"givenName": "Min",
"surname": "Liu",
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"affiliation": "Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong Univ., China, 200240",
"fullName": "Guangtao Zhai",
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"surname": "Zhai",
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{
"affiliation": "Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong Univ., China, 200240",
"fullName": "Shen Tan",
"givenName": "Shen",
"surname": "Tan",
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{
"affiliation": "Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong Univ., China, 200240",
"fullName": "Zhili Zhang",
"givenName": "Zhili",
"surname": "Zhang",
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{
"affiliation": "Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong Univ., China, 200240",
"fullName": "Ke Gu",
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"affiliation": "Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong Univ., China, 200240",
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"abstract": "Due to hardware constraints, standard off-the-shelf digital cameras suffers from low dynamic range (LDR) and low frame per second (FPS) outputs. Previous works in high dynamic range (HDR) video reconstruction uses sequence of alternating exposure LDR frames as input, and align the neighbouring frames using optical flow based networks. However, these methods often result in motion artifacts in challenging situations. This is because, the alternate exposure frames have to be exposure matched in order to apply alignment using optical flow. Hence, over-saturation and noise in the LDR frames results in inaccurate alignment. To this end, we propose to align the input LDR frames using a pre-trained video frame interpolation network. This results in better alignment of LDR frames, since we circumvent the error-prone exposure matching step, and directly generate intermediate missing frames from the same exposure inputs. Furthermore, it allows us to generate high FPS HDR videos by recursively interpolating the intermediate frames. Through this work, we propose to use video frame interpolation for HDR video reconstruction, and present the first method to generate high FPS HDR videos. Experimental results demonstrate the efficacy of the proposed framework against optical flow based alignment methods, with an absolute improvement of 2.4 PSNR value on standard HDR video datasets [1], [2] and further benchmark our method for high FPS HDR video generation.",
"abstracts": [
{
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"content": "Due to hardware constraints, standard off-the-shelf digital cameras suffers from low dynamic range (LDR) and low frame per second (FPS) outputs. Previous works in high dynamic range (HDR) video reconstruction uses sequence of alternating exposure LDR frames as input, and align the neighbouring frames using optical flow based networks. However, these methods often result in motion artifacts in challenging situations. This is because, the alternate exposure frames have to be exposure matched in order to apply alignment using optical flow. Hence, over-saturation and noise in the LDR frames results in inaccurate alignment. To this end, we propose to align the input LDR frames using a pre-trained video frame interpolation network. This results in better alignment of LDR frames, since we circumvent the error-prone exposure matching step, and directly generate intermediate missing frames from the same exposure inputs. Furthermore, it allows us to generate high FPS HDR videos by recursively interpolating the intermediate frames. Through this work, we propose to use video frame interpolation for HDR video reconstruction, and present the first method to generate high FPS HDR videos. Experimental results demonstrate the efficacy of the proposed framework against optical flow based alignment methods, with an absolute improvement of 2.4 PSNR value on standard HDR video datasets [1], [2] and further benchmark our method for high FPS HDR video generation.",
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"normalizedAbstract": "Due to hardware constraints, standard off-the-shelf digital cameras suffers from low dynamic range (LDR) and low frame per second (FPS) outputs. Previous works in high dynamic range (HDR) video reconstruction uses sequence of alternating exposure LDR frames as input, and align the neighbouring frames using optical flow based networks. However, these methods often result in motion artifacts in challenging situations. This is because, the alternate exposure frames have to be exposure matched in order to apply alignment using optical flow. Hence, over-saturation and noise in the LDR frames results in inaccurate alignment. To this end, we propose to align the input LDR frames using a pre-trained video frame interpolation network. This results in better alignment of LDR frames, since we circumvent the error-prone exposure matching step, and directly generate intermediate missing frames from the same exposure inputs. Furthermore, it allows us to generate high FPS HDR videos by recursively interpolating the intermediate frames. Through this work, we propose to use video frame interpolation for HDR video reconstruction, and present the first method to generate high FPS HDR videos. Experimental results demonstrate the efficacy of the proposed framework against optical flow based alignment methods, with an absolute improvement of 2.4 PSNR value on standard HDR video datasets [1], [2] and further benchmark our method for high FPS HDR video generation.",
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"fullName": "Zeeshan Khan",
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"affiliation": "University of California,Los Angeles",
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"title": "A Two-stage Deep Network for High Dynamic Range Image Reconstruction",
"normalizedTitle": "A Two-stage Deep Network for High Dynamic Range Image Reconstruction",
"abstract": "Mapping a single exposure low dynamic range (LDR) image into a high dynamic range (HDR) is considered among the most strenuous image to image translation tasks due to exposure-related missing information. This study tackles the challenges of single-shot LDR to HDR mapping by proposing a novel two-stage deep network. Notably, our proposed method aims to reconstruct an HDR image with-out knowing hardware information, including camera response function (CRF) and exposure settings. Therefore, we aim to perform image enhancement task like denoising, exposure correction, etc., in the first stage. Additionally, the second stage of our deep network learns tone mapping and bit-expansion from a convex set of data samples. The qualitative and quantitative comparisons demonstrate that the proposed method can outperform the existing LDR to HDR works with a marginal difference. Apart from that, we collected an LDR image dataset incorporating different camera systems. The evaluation with our collected real-world LDR images illustrates that the proposed method can reconstruct plausible HDR images without presenting any visual artefacts. Code available : https://github.com/sharif-apu/twostageHDR_NTIRE21.",
"abstracts": [
{
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"content": "Mapping a single exposure low dynamic range (LDR) image into a high dynamic range (HDR) is considered among the most strenuous image to image translation tasks due to exposure-related missing information. This study tackles the challenges of single-shot LDR to HDR mapping by proposing a novel two-stage deep network. Notably, our proposed method aims to reconstruct an HDR image with-out knowing hardware information, including camera response function (CRF) and exposure settings. Therefore, we aim to perform image enhancement task like denoising, exposure correction, etc., in the first stage. Additionally, the second stage of our deep network learns tone mapping and bit-expansion from a convex set of data samples. The qualitative and quantitative comparisons demonstrate that the proposed method can outperform the existing LDR to HDR works with a marginal difference. Apart from that, we collected an LDR image dataset incorporating different camera systems. The evaluation with our collected real-world LDR images illustrates that the proposed method can reconstruct plausible HDR images without presenting any visual artefacts. Code available : https://github.com/sharif-apu/twostageHDR_NTIRE21.",
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"normalizedAbstract": "Mapping a single exposure low dynamic range (LDR) image into a high dynamic range (HDR) is considered among the most strenuous image to image translation tasks due to exposure-related missing information. This study tackles the challenges of single-shot LDR to HDR mapping by proposing a novel two-stage deep network. Notably, our proposed method aims to reconstruct an HDR image with-out knowing hardware information, including camera response function (CRF) and exposure settings. Therefore, we aim to perform image enhancement task like denoising, exposure correction, etc., in the first stage. Additionally, the second stage of our deep network learns tone mapping and bit-expansion from a convex set of data samples. The qualitative and quantitative comparisons demonstrate that the proposed method can outperform the existing LDR to HDR works with a marginal difference. Apart from that, we collected an LDR image dataset incorporating different camera systems. The evaluation with our collected real-world LDR images illustrates that the proposed method can reconstruct plausible HDR images without presenting any visual artefacts. Code available : https://github.com/sharif-apu/twostageHDR_NTIRE21.",
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"affiliation": "Rigel-IT,Bangladesh",
"fullName": "S M A Sharif",
"givenName": "S M A",
"surname": "Sharif",
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{
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{
"affiliation": "Rigel-IT,Bangladesh",
"fullName": "Mithun Biswas",
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