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"title": "2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
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"id": "17D45WaTkli",
"doi": "10.1109/ISMAR.2018.00025",
"title": "Impact of Alignment Point Distance and Posture on SPAAM Calibration of Optical See-Through Head-Mounted Displays",
"normalizedTitle": "Impact of Alignment Point Distance and Posture on SPAAM Calibration of Optical See-Through Head-Mounted Displays",
"abstract": "The use of Optical See-Through (OST) technology for presenting Augmented Reality (AR) experiences is becoming more common. However, OST-AR displays require a calibration procedure, in order to determine the location of the users eyes. Currently, the predominantly cited manual calibration technique is the Single Point Active Alignment Method (SPAAM). However, with the SPAAM technique, there remains uncertainty about the causes of poor calibration results. This paper reports an experiment which examined the influence of two factors on SPAAM accuracy and precision: alignment point distribution, and user posture. Alignment point distribution is examined at user-centered reaching distances, 0.15 to 0.3 meters, as well as environment-centered room-scale distances, 0.5 to 2.0 meters. User posture likely contributes to misalignment error, and is examined at the levels of sitting and standing. In addition, a control condition replaces the user with a rigidly-mounted camera, and mounts the OST display on a precisely-adjustable tripod. The experiment finds that user-centric distributions are more accurate than environment-centric distributions, and, somewhat surprisingly, that the users posture has no effect. The control condition replicates these findings. The implication is that alignment point distribution is the predominant mode for induction of calibration error for SPAAM calibration procedures.",
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"content": "The use of Optical See-Through (OST) technology for presenting Augmented Reality (AR) experiences is becoming more common. However, OST-AR displays require a calibration procedure, in order to determine the location of the users eyes. Currently, the predominantly cited manual calibration technique is the Single Point Active Alignment Method (SPAAM). However, with the SPAAM technique, there remains uncertainty about the causes of poor calibration results. This paper reports an experiment which examined the influence of two factors on SPAAM accuracy and precision: alignment point distribution, and user posture. Alignment point distribution is examined at user-centered reaching distances, 0.15 to 0.3 meters, as well as environment-centered room-scale distances, 0.5 to 2.0 meters. User posture likely contributes to misalignment error, and is examined at the levels of sitting and standing. In addition, a control condition replaces the user with a rigidly-mounted camera, and mounts the OST display on a precisely-adjustable tripod. The experiment finds that user-centric distributions are more accurate than environment-centric distributions, and, somewhat surprisingly, that the users posture has no effect. The control condition replicates these findings. The implication is that alignment point distribution is the predominant mode for induction of calibration error for SPAAM calibration procedures.",
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"normalizedAbstract": "The use of Optical See-Through (OST) technology for presenting Augmented Reality (AR) experiences is becoming more common. However, OST-AR displays require a calibration procedure, in order to determine the location of the users eyes. Currently, the predominantly cited manual calibration technique is the Single Point Active Alignment Method (SPAAM). However, with the SPAAM technique, there remains uncertainty about the causes of poor calibration results. This paper reports an experiment which examined the influence of two factors on SPAAM accuracy and precision: alignment point distribution, and user posture. Alignment point distribution is examined at user-centered reaching distances, 0.15 to 0.3 meters, as well as environment-centered room-scale distances, 0.5 to 2.0 meters. User posture likely contributes to misalignment error, and is examined at the levels of sitting and standing. In addition, a control condition replaces the user with a rigidly-mounted camera, and mounts the OST display on a precisely-adjustable tripod. The experiment finds that user-centric distributions are more accurate than environment-centric distributions, and, somewhat surprisingly, that the users posture has no effect. The control condition replicates these findings. The implication is that alignment point distribution is the predominant mode for induction of calibration error for SPAAM calibration procedures.",
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"Calibration",
"Cameras",
"Helmet Mounted Displays",
"Alignment Point Distance",
"Head Mounted Displays",
"Optical See Through Technology",
"Augmented Reality Experiences",
"OST AR Displays",
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"title": "Performance and sensitivity analysis of INDICA: INteraction-Free DIsplay CAlibration for Optical See-Through Head-Mounted Displays",
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"title": "Impact of Alignment Point Distance Distribution on SPAAM Calibration of Optical See-Through Head-Mounted Displays",
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"abstract": "Despite a considerable amount of previous work on bottom-up saliency modeling for predicting human fixations over static and dynamic stimuli, few studies have thus far attempted to model top-down and task-driven influences of visual attention. Here, taking advantage of the sequential nature of real-world tasks, we propose a unified Bayesian approach for modeling task-driven visual attention. Several sources of information, including global context of a scene, previous attended locations, and previous motor actions, are integrated over time to predict the next attended location. Recording eye movements while subjects engage in 5 contemporary 2D and 3D video games, as modest counterparts of everyday tasks, we show that our approach is able to predict human attention and gaze better than the state-of-the-art, with a large margin (about 15% increase in prediction accuracy). The advantage of our approach is that it is automatic and applicable to arbitrary visual tasks.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Despite a considerable amount of previous work on bottom-up saliency modeling for predicting human fixations over static and dynamic stimuli, few studies have thus far attempted to model top-down and task-driven influences of visual attention. Here, taking advantage of the sequential nature of real-world tasks, we propose a unified Bayesian approach for modeling task-driven visual attention. Several sources of information, including global context of a scene, previous attended locations, and previous motor actions, are integrated over time to predict the next attended location. Recording eye movements while subjects engage in 5 contemporary 2D and 3D video games, as modest counterparts of everyday tasks, we show that our approach is able to predict human attention and gaze better than the state-of-the-art, with a large margin (about 15% increase in prediction accuracy). The advantage of our approach is that it is automatic and applicable to arbitrary visual tasks.",
"__typename": "ArticleAbstractType"
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"fno": "060P1B07",
"keywords": [
"Object Tracking",
"Bayes Methods",
"Computer Vision",
"Eye",
"Image Motion Analysis",
"Learning Artificial Intelligence",
"Computer Vision",
"Probabilistic Learning",
"Task Specific Visual Attention",
"Bottom Up Saliency Modeling",
"Human Fixation Prediction",
"Static Stimuli",
"Dynamic Stimuli",
"Top Down Influence",
"Task Driven Influence",
"Unified Bayesian Approach",
"Previous Motor Action",
"Next Attended Location Prediction",
"Eye Movement Recording",
"Contemporary 2 D Video Games",
"3 D Video Games",
"Human Attention Prediction",
"Gaze Prediction",
"Games",
"Visualization",
"Computational Modeling",
"Predictive Models",
"Bayesian Methods",
"Vectors",
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"authors": [
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"affiliation": "Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA",
"fullName": "L. Itti",
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{
"affiliation": "Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA",
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"affiliation": "Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA",
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"proceeding": {
"id": "12OmNzBOhWe",
"title": "2011 Seventh International Conference on Computational Intelligence and Security",
"acronym": "cis",
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"article": {
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"doi": "10.1109/CIS.2011.130",
"title": "Information Hiding Algorithm Based on Stentiford Visual Attention Model",
"normalizedTitle": "Information Hiding Algorithm Based on Stentiford Visual Attention Model",
"abstract": "Visual attention model is a hotspot in the field of multimedia understanding. It is quite helpful for multimedia processing especially in the case that the human vision should be considered. In this paper, a novel information hiding algorithm based on Stentiford visual attention model is proposed. By embedding less information in sensitive region, the invisibility of image with hidden information is improved. By embedding more information in non-sensitive region, the information capacity is improved. Meanwhile, a visual attention based PSNR algorithm is also proposed. Experiments demonstrate that the proposed algorithm not only achieves good performance on information capacity and visual invisibility, but also improves the robustness.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Visual attention model is a hotspot in the field of multimedia understanding. It is quite helpful for multimedia processing especially in the case that the human vision should be considered. In this paper, a novel information hiding algorithm based on Stentiford visual attention model is proposed. By embedding less information in sensitive region, the invisibility of image with hidden information is improved. By embedding more information in non-sensitive region, the information capacity is improved. Meanwhile, a visual attention based PSNR algorithm is also proposed. Experiments demonstrate that the proposed algorithm not only achieves good performance on information capacity and visual invisibility, but also improves the robustness.",
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"normalizedAbstract": "Visual attention model is a hotspot in the field of multimedia understanding. It is quite helpful for multimedia processing especially in the case that the human vision should be considered. In this paper, a novel information hiding algorithm based on Stentiford visual attention model is proposed. By embedding less information in sensitive region, the invisibility of image with hidden information is improved. By embedding more information in non-sensitive region, the information capacity is improved. Meanwhile, a visual attention based PSNR algorithm is also proposed. Experiments demonstrate that the proposed algorithm not only achieves good performance on information capacity and visual invisibility, but also improves the robustness.",
"fno": "4584a564",
"keywords": [
"Information Hiding",
"Visual Attention",
"Quality Evaluation",
"Information Capacity"
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"affiliation": null,
"fullName": "Jie Ling",
"givenName": "Jie",
"surname": "Ling",
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{
"affiliation": null,
"fullName": "Ju Liu",
"givenName": "Ju",
"surname": "Liu",
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{
"affiliation": null,
"fullName": "Jiande Sun",
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"fullName": "Jianping Qiao",
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"fullName": "Feng Wang",
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{
"affiliation": null,
"fullName": "Feng Feng",
"givenName": "Feng",
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"abstract": "Cognitive science provides a useful approach to studying computer gameplay, especially from the perspective of determining the cognitive skills that players learn during play. Computer games are highly visual medium and game interaction involves continuous visual cognition. A system integrating an eyetracker with a 3D computer game engine has been developed to provide real time gaze object logging, a fast and convenient way of collecting gaze object data for analysis. This system has been used to test three hypotheses concerning visual attention in close combat tactics as simulated by a first-person shooter (FPS) computer game. Firstly, the cuing effect of the player’s gun graphic on visual attention was tested, but no evidence was found to support this. Data supported the second hypothesis, that a player attends to the target opponent while shooting at them, in most cases, while in a small percentage of cases this is achieved in peripheral vision. Finally, in most cases, a player targets the nearest opponent. These results provide a baseline for further investigations in which the stimulus game design may be modified to provide more detailed models of the visual cognitive processes involved in gameplay. These models document the learning outcomes of game interaction and provide a basis for improvements, such as the optimization of combat survival tactics.",
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"Behavioural Sciences Computing",
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"title": "Stability of image restoration by minimizing regularized objective functions",
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"abstract": "We address the general problem of the recovery of an unknown image, x\\in {\\hbox{\\rlap{I}\\kern 2.0pt{\\hbox{R}}}}^p, from noisy data, y \\in {\\hbox{\\rlap{I}\\kern 2.0pt{\\hbox{R}}}}^q, by minimizing a regularized objective function {\\cal E}(x; y). We focus on typical situations when the objective function is {\\cal C}^m-smooth and is composed of a quadratic data-fidelity term and a general regularization term: {\\cal E}(x; y) = \\| Ax _ y\\|^2 +\\Phi(x), where A is a linear operator. Many authors have shown that especially nonconvex regularizers Φ allow the restoration of images involving both sharp edges and smoothly varying regions. The main limitation to use such regularizers is that, being highly nonconvex, the resultant objective functions are intricate to minimize. On the other hand, since very few facts are known about the minimizers of such functions, the properties and in particular the stability of the resultant solutions are difficult to control. This state of the art limits the practical use of such functions. This work is devoted to the stability of the local and global minimizers \\hat x of objective functions \\cal E as specified above, under the assumption that A is injective. At a first stage, we focus on local minimizers. We demonstrate that the data domain {\\hbox{\\rlap{I}\\kern 2.0pt{\\hbox{R}}}}^q contains an open, dense subset Gamma composed of elements y for which all minimizers of the relevant {\\cal E}(:; y) are strict. Moreover, each time \\hat x is a strict minimizer of {\\cal E}(:; y), there is a {\\cal C}^{m_1}-smooth function {\\cal X}, defined on a neighborhood of y, such that, for every y^\\prime in this neighborhood, {\\cal X}(y^\\prime) is a strict local minimizer of the relevant {\\cal E}(:; y 0 ). Furthermore, for every y \\in\\Gamma, the function {\\cal E}(:; y) admits a finite number of minimizers. This number can be upper-bounded on a neighborhood of every y \\in\\Gamma. Although a nonconvex objective function may give rise to more then one global minimizer, we show that this cannot occur for the data in Γ. The conjunction of the above facts entails the existence of a global minimizer function \\hat{\\cal X} which is {\\cal C}^{m_1}-smooth on Gamma. That is, for every y \\in \\Gamma, \\hat{\\cal X}(y) is the unique global minimizer of {\\cal E}(:; y). We thus have shown that the global minimizers of \\cal E are stable under small perturbations of the data.",
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"content": "We address the general problem of the recovery of an unknown image, x\\in {\\hbox{\\rlap{I}\\kern 2.0pt{\\hbox{R}}}}^p, from noisy data, y \\in {\\hbox{\\rlap{I}\\kern 2.0pt{\\hbox{R}}}}^q, by minimizing a regularized objective function {\\cal E}(x; y). We focus on typical situations when the objective function is {\\cal C}^m-smooth and is composed of a quadratic data-fidelity term and a general regularization term: {\\cal E}(x; y) = \\| Ax _ y\\|^2 +\\Phi(x), where A is a linear operator. Many authors have shown that especially nonconvex regularizers Φ allow the restoration of images involving both sharp edges and smoothly varying regions. The main limitation to use such regularizers is that, being highly nonconvex, the resultant objective functions are intricate to minimize. On the other hand, since very few facts are known about the minimizers of such functions, the properties and in particular the stability of the resultant solutions are difficult to control. This state of the art limits the practical use of such functions. This work is devoted to the stability of the local and global minimizers \\hat x of objective functions \\cal E as specified above, under the assumption that A is injective. At a first stage, we focus on local minimizers. We demonstrate that the data domain {\\hbox{\\rlap{I}\\kern 2.0pt{\\hbox{R}}}}^q contains an open, dense subset Gamma composed of elements y for which all minimizers of the relevant {\\cal E}(:; y) are strict. Moreover, each time \\hat x is a strict minimizer of {\\cal E}(:; y), there is a {\\cal C}^{m_1}-smooth function {\\cal X}, defined on a neighborhood of y, such that, for every y^\\prime in this neighborhood, {\\cal X}(y^\\prime) is a strict local minimizer of the relevant {\\cal E}(:; y 0 ). Furthermore, for every y \\in\\Gamma, the function {\\cal E}(:; y) admits a finite number of minimizers. This number can be upper-bounded on a neighborhood of every y \\in\\Gamma. Although a nonconvex objective function may give rise to more then one global minimizer, we show that this cannot occur for the data in Γ. The conjunction of the above facts entails the existence of a global minimizer function \\hat{\\cal X} which is {\\cal C}^{m_1}-smooth on Gamma. That is, for every y \\in \\Gamma, \\hat{\\cal X}(y) is the unique global minimizer of {\\cal E}(:; y). We thus have shown that the global minimizers of \\cal E are stable under small perturbations of the data.",
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"abstract": "This paper presents an end-to-end, low-cost solution for visualizing time-varying volume data rendered on a parallel computer located at a remote site. Pipelining and careful grouping of processors are used to hide I/O time and to maximize processors utilization. Compression is used to significantly cut down the cost of transferring output images from the parallel computer to a display device through a widearea network. This complete rendering pipeline makes possible highly efficient rendering and remote viewing of high resolution time-varying data sets in the absence of high-speed network and parallel I/O support. To study the performance of this rendering pipeline and to demonstrate high-performance remote visualization, tests were conducted on a PC cluster in Japan as well as an SGI Origin 2000 operated at the NASA Ames Research Center with the display located at UC Davis.",
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"abstract": "The growing availability of massive polygonal models, and the inability of most existing visualization tools to work with such data, has created a pressing need for memory efficient methods capable of simplifying very large meshes. In this paper, we present a method for performing adaptive simplification of polygonal meshes that are too large to fit in-core. Our algorithm performs two passes over an input mesh. In the first pass, the model is quantized using a uniform grid, and surface information is accumulated in the form of quadrics and dual quadrics. This sampling is then used to construct a BSP-Tree in which the partitioning planes are determined by the dual quadrics. In the final pass, the original vertices are clustered using the BSP-Tree, yielding an adaptive approximation of the original mesh. The BSP-Tree describes a natural simplification hierarchy, making it possible to generate a progressive transmission and construct level-of- detail representations. In this way, the algorithm provides some of the features associated with more expensive edge contraction methods while maintaining greater computational efficiency. In addition to performing adaptive simplification, our algorithm exhibits output-sensitive memory requirements and allows fine control over the size of the simplified mesh.",
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"abstract": "We describe tools that use measurements from video for the extraction of facial modeling and animation parameters, head tracking, and real-time interactive facial animation. These tools share common goals but rely on varying details of physical and geometric modeling and in their input measurement system. Accurate facial modeling involves fine details of geometry and muscle coarticulation. By coupling pixel-by-pixel measurements of surface motion to a physically-based face model and a muscle control model, we have been able to obtain detailed spatio-temporal records of both the displacement of each point on the facial surface and the muscle control required to produce the observed facial motion. We will discuss the importance of this visually extracted representation in terms or realistic facial motion synthesis. A similar method that uses an ellipsoidal model of the head coupled with detailed estimates of visual motion allows accurate tracking of head motion in 3-D. Additionally, by coupling sparse, fast visual measurements with our physically-based model via an interpolation process, we have produced a real-time interactive facial animation/mimicking system.",
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"Interactive Animation",
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"abstract": "Moment functions have been used recently to compute stroke parameters for painterly rendering applications. The technique is based on the estimation of geometric features of the intensity distribution in small windowed images to obtain the brush size, colour and direction. This paper proposes an improvement of this method, by additionally extracting the connected components so that adjacent regions of similar colour are grouped for generating large and noticeable brush stroke images. An iterative coarse-to-fine rendering algorithm is used for painting regions of varying colour frequencies. Performance improvements over the existing technique are discussed with several examples.",
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"abstract": "While the 3D graphics technique has found its place for the scientific visualization, especially for medical and biological applications, it has long been speculated that the 3D may not be so much effective as far as the conventional information visualization is concerned. We agree upon this view that the naive extension of the 2D visual forms to 3D is not a way to go. Instead, the computergenerated 3D virtual world will serve best when the virtual world is seamlessly integrated with the real 3D space. For an example, a physical automobile model surrounded with various kinds of virtual visual forms such as texts, images, sounds and 3D models will offer the user (or the audience) another level of appreciation and experience on the subject being presented. In this paper, we present our on-going developmental efforts toward the above framework which calls for the tight integration of the 3D visual forms and the 3D real space. The Spatial AR Hologram (SPAROGRAM) is capable of manifesting augmented three-dimensional information by making full use of the real 3D space that encompasses the surroundings of the real object comprehensively and simultaneously. To accomplish this, a multiple layer of stereoscopic images was implemented. Stereoscopic images enable spatial visualization using the physical and virtual third dimension. Furthermore, ensuring the continuity of the spatial experience, we made the use of spatial exploration with user interaction in real-time. We describe the whole process of system design and prototyping. Our initial investigation suggests that the newly conceived holographic display produce not only continuous 3D space perception, but also the better spatial awareness and realism. Furthermore, it is a promising way to present information in three-dimensional display and help the users understand information effectively and efficiently.",
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"content": "While the 3D graphics technique has found its place for the scientific visualization, especially for medical and biological applications, it has long been speculated that the 3D may not be so much effective as far as the conventional information visualization is concerned. We agree upon this view that the naive extension of the 2D visual forms to 3D is not a way to go. Instead, the computergenerated 3D virtual world will serve best when the virtual world is seamlessly integrated with the real 3D space. For an example, a physical automobile model surrounded with various kinds of virtual visual forms such as texts, images, sounds and 3D models will offer the user (or the audience) another level of appreciation and experience on the subject being presented. In this paper, we present our on-going developmental efforts toward the above framework which calls for the tight integration of the 3D visual forms and the 3D real space. The Spatial AR Hologram (SPAROGRAM) is capable of manifesting augmented three-dimensional information by making full use of the real 3D space that encompasses the surroundings of the real object comprehensively and simultaneously. To accomplish this, a multiple layer of stereoscopic images was implemented. Stereoscopic images enable spatial visualization using the physical and virtual third dimension. Furthermore, ensuring the continuity of the spatial experience, we made the use of spatial exploration with user interaction in real-time. We describe the whole process of system design and prototyping. Our initial investigation suggests that the newly conceived holographic display produce not only continuous 3D space perception, but also the better spatial awareness and realism. Furthermore, it is a promising way to present information in three-dimensional display and help the users understand information effectively and efficiently.",
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"abstract": "A technique is introduced for 3-D surface reconstruction and graphic animation using elastic, deformable models. The basic structure used is an imaginary elastic grid, which is made of membranous, thin-plate type material. This elastic grid is bent, twisted, compressed, and stretched into any desirable 3-D shape, or from one flexible state to another. The desired shape can be specified by the shape constraints derived automatically from images of a real 3-D object, or by an analytic surface function. Shape reconstruction is guided by a set of imaginary springs that enforce the consistency in the position, orientation, and/or curvature measurements of the elastic grid and the desired shape. The dynamics of a reconstruction process is regulated by the Hamilton principle or the principle of the least action. Implementation results using simple analytic shapes and images of real free-form objects are presented. The authors believe that their model is widely applicable in many surface reconstruction and graphic animation processes.<>",
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"title": "Ride Quality Improvement in Passenger Cars Using Regenerative Dampers: A Field-Oriented Control Approach",
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"abstract": "This paper proposes the implementation of a regenerative damper and its control to attain comfort and handling improvements on a passenger car. In the past, numerous efforts have focused on the development of actuators able to harvest energy from suspension vibrations. However, less effort has been devoted to the development of suitable control strategies at the level of the electric motor that performs this energy conversion. To achieve this goal, a quarter-car model of the reference vehicle is simulated in a MATLAB/Simulink™ environment. We apply comfort- and handling-oriented strategies (skyhook and groundhook), as well as constant damping reproduction. The permanent-magnet synchronous machine inside the damper is modeled in dq axes and field-oriented control is implemented with field weakening using maximum torque per ampere and volt methods. This guarantees safe damping operation as speed escalates. It is demonstrated that the machine can fulfill the desired damping task within its operational limits.",
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"Mechatronics",
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"abstract": "Monte Carlo Tree Search (MCTS) methods have achieved great success in many Artificial Intelligence (AI) benchmarks. The in-tree operations become a critical performance bottleneck in realizing parallel MCTS on CPUs. In this work, we develop a scalable CPU-FPGA system for Tree-Parallel MCTS. We propose a novel decomposition and mapping of MCTS data structure and computation onto CPU and FPGA to reduce communication and coordination. High scalability of our system is achieved by encapsulating in-tree operations in an SRAM-based FPGA accelerator. To lower the high data access latency and inter-worker synchronization overheads, we develop several hardware optimizations. We show that by using our accelerator, we obtain up to 35× speedup for in-tree operations, and 3× higher overall system throughput. Our CPU-FPGA system also achieves superior scalability wrt number of parallel workers than state-of-the-art parallel MCTS implementations on CPU.",
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"abstract": "The DNA sequence data is one of the basic and important data among biological data. The DNA sequence pattern mining has got wide attention and rapid development. Traditional algorithms for the sequential pattern mining may generate lots of redundant patterns when dealing with the DNA sequence. The maximal frequent pattern is preferable to express the function and structure of the DNA sequence. Base on the characteristics of the DNA sequence, the author develops the joined maximal pattern segments algorithm-JMPS, for the maximal frequent patterns mining of the DNA sequence. First, the maximal frequent pattern segments base on adjacent generated. Then, longer maximal frequent pattern can be obtained by combining the above segments, at the same time deleting the nonmaximal patterns. The algorithm can deal with the DNA sequence data efficiently.",
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"affiliation": "Department of Computer Science and Technology, Nanchang University, 330031, China",
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"affiliation": "Department of Computer Science and Technology, Nanchang University, 330031, China",
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"abstract": "Mining of confident patterns from the datasets with skewed support distributions is a very important problem in the pattern discovery field. A hyperclique pattern is presented as a new type of association pattern for mining such datasets, in which items are highly affiliated with each other. The maximal hyperclique pattern is a more compact representation of a group of hyperclique patterns. In this paper, we present a fast algorithm of mining maximal hyperclique pattern called hyperclique pattern growth (HCP-growth) based on frequent pattern tree (FP-tree). The algorithm adopts recursive mining method without any candidate generation and exploits many efficient pruning strategies. The experimental results demonstrate that our algorithm is more effective than the standard maximal hyperclique pattern mining algorithm, particularly for the large-scale datasets.",
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"content": "Collision detection and resolution are of great importance to physically based animation. Real time responses are essential for many applications, which largely rely on the efficiency of localising the potentially colliding geometry and calculating the polygon intersections. It is an extremely heavy computation task using the existing polygon based methods, especially for deformable objects. To improve this issue, we present an implicit circumsphere based collision detection and resolution method for deformable objects which takes into consideration both local geometry features and the material properties. Our method approximates the mesh in question with an implicit circumsphere surface, which is used to perform finest level collision detection and resolution instead of the original polygonal mesh. The dynamic deformation as a result of collision is determined by both the geometry and the material properties of the surface. Due to the simplicity of sphere overlap test, our method is not only computationally efficient, but also stable and comparatively accurate, outperforming the existing methods in overall performance. Our implicit circumsphere method can also provide better prevention to collision tunnelling than existing methods. Besides, this method is compatible with all existing broad phase and narrow phase collision query techniques.",
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"abstract": "As robots are gradually used in more and more scenarios, the requirements for robots to complete a variety of complex tasks are becoming higher and higher. Robotic hands, as the important tool for robot to complete the task, has attracted more and more attention. However, the robotic grasping tool usually has a single function and few degrees of freedom, which makes it difficult to adapt to more complex application scenarios. This paper presented a novel robotic hand with four fingers, which is designed based on the characteristics of human hands. We introduced the design process of the finger structure, analyzed the kinematics and statics of the designed hand, and further manufactured the prototype. To verify the function of the designed multi-fingered hand, we designed a serial of grasping experiments for different objects. The experimental results show that the designed multi-fingered hand can successfully grasp different experimental objects and meet the grasping requirements of the robot.",
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"abstract": "Extracting good views from a large sequence of visual frames is quite difficult but a very important task across many fields. Fully automatic view selection suffers from high data redundancy and heavy computational cost, thus fails to provide a fast and intuitive visualization. In this paper we address the automatic viewpoint selection problem in the context of 3D knot deformation. After describing viewpoint selection criteria, we detail a brute-force algorithm with a minimal distance alignment method in a way to not only ensure the global best viewpoint but also present a sequence of visually continuous frames. Due to the intensive computation, we implement an efficient extraction method through parallelization. Moreover, we propose a fast and adaptive method to retrieve best viewpoints in real-time. Despite its local searching nature, it is able to generate a set of visually continuous key frames with an interactive rate. All these combine provide insights into 3D knot deformation where the critical changes of the deformation are fully represented.",
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"content": "Extracting good views from a large sequence of visual frames is quite difficult but a very important task across many fields. Fully automatic view selection suffers from high data redundancy and heavy computational cost, thus fails to provide a fast and intuitive visualization. In this paper we address the automatic viewpoint selection problem in the context of 3D knot deformation. After describing viewpoint selection criteria, we detail a brute-force algorithm with a minimal distance alignment method in a way to not only ensure the global best viewpoint but also present a sequence of visually continuous frames. Due to the intensive computation, we implement an efficient extraction method through parallelization. Moreover, we propose a fast and adaptive method to retrieve best viewpoints in real-time. Despite its local searching nature, it is able to generate a set of visually continuous key frames with an interactive rate. All these combine provide insights into 3D knot deformation where the critical changes of the deformation are fully represented.",
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