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"abstract": "In direct volume rendering, the use of transfer functions allows the visualization of specific parts of the volume, revealing significant structures such as boundaries between different materials. To interactively specify an adequate transfer function is a very challenging and time-consuming task. Besides, a user can settle with a transfer function that does not reveal the overall structure inside the volume. Hence, the importance of generating adequate transfer functions automatically. Since Kindlmann and Durkin's seminal work on the semi-automatic generation of transfer functions, many research works have been conducted attempting to improve their proposal. Despite some fine resulting visualizations, many of these works aimed to diminish the problem of boundary overlaps, in the data domain, by using two-dimensional transfer functions, thus decreasing the focus on the automatic generation and leaving to the user, again, the task to manually isolate isosurfaces. Moreover, fine-tuning two-dimensional transfer functions is less intuitive than adjusting one-dimensional ones. This paper redirects Kindlmann and Durkin's concepts of boundary characterization and proposes a new method to automatically generate one-dimensional transfer functions, more robust to boundary overlaps. This work also suggests a rendering filter to isolate detected isosurfaces in the visualization.",
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"abstract": "A wireless sensor network is a technology that aims to collect real world information by wireless communication which connects many computer to network, and it is expected its practical realization. On the other hand, research on the office environment also has attracted a great deal of attention in recent years. It has been reported that light environment affects the productivity of user. In this paper, we propose wireless sensor network-driven intelligent lighting system (WSN-ILS below). WSN-ILS provides a light environment to each user by innetwork processing in wireless sensor network. WSN-ILS achieves energy-efficient light environment by performing an individual control to each lighting from sensor node. WSN-ILS has two schemes to control lighting from the sensor node. We will examine effectiveness of the WSN-ILS on an existing equipment.",
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"content": "A wireless sensor network is a technology that aims to collect real world information by wireless communication which connects many computer to network, and it is expected its practical realization. On the other hand, research on the office environment also has attracted a great deal of attention in recent years. It has been reported that light environment affects the productivity of user. In this paper, we propose wireless sensor network-driven intelligent lighting system (WSN-ILS below). WSN-ILS provides a light environment to each user by innetwork processing in wireless sensor network. WSN-ILS achieves energy-efficient light environment by performing an individual control to each lighting from sensor node. WSN-ILS has two schemes to control lighting from the sensor node. We will examine effectiveness of the WSN-ILS on an existing equipment.",
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"normalizedAbstract": "A wireless sensor network is a technology that aims to collect real world information by wireless communication which connects many computer to network, and it is expected its practical realization. On the other hand, research on the office environment also has attracted a great deal of attention in recent years. It has been reported that light environment affects the productivity of user. In this paper, we propose wireless sensor network-driven intelligent lighting system (WSN-ILS below). WSN-ILS provides a light environment to each user by innetwork processing in wireless sensor network. WSN-ILS achieves energy-efficient light environment by performing an individual control to each lighting from sensor node. WSN-ILS has two schemes to control lighting from the sensor node. We will examine effectiveness of the WSN-ILS on an existing equipment.",
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"affiliation": "Graduate School of Engineering, Doshisha University, Kyoto, Japan",
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"affiliation": "Department School of Engineering, Doshisha University, Kyoto, Japan",
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"affiliation": "Graduate School of Engineering, Doshisha University, Japan",
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"affiliation": "Graduate School of Engineering, Doshisha University, Japan",
"fullName": "Mitsunori Miki",
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"title": "Research and Design of Distributed Long Distance Lighting Equipment Monitor System",
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"abstract": "In many areas such as building, road traffic, underground parking lot, large-scale market, stadium, and entertainment places, and so on, we usually need many lighting equipment, but conventional switch control usually needs work staff artificial control by wire style. This kind of style has poor real time and safety, so, in order to realize distributed long distance lighting equipment state control by work staff effectively at central control room, we design a set of wireless long distance lighting equipment control system through analyzing SCM MSP430F149 low power character, based on SCM MSP430F149 and wireless transmission chip nRF401. System is composed of upper PC, main controller, and each terminal controller. Upper PC controls main controller MSP430F19, and transmits control instruction to field controller, MSP430F149 controls corresponding lighting lamp switch state by wireless transceiver module. Upper PC can effectively complete wireless long distance lighting equipment control in real time. System transmission distance can reach 1000m in theory, which not only reduces physical route connection between terminal equipments, but also simplifies construction difficulty and complexity. System has many advantages such as good expansibility, convenient maintenance, and low cost, etc.",
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"abstract": "With the development of digital technology, the expression of photography language is more abundant. Photographers will use photography technology to handle visual elements, improve the composition of photos, integrate creative emotions, and fully reflect the photography theme. In addition, in the information age, image processing software is easy to operate and digital camera technology is more complete, which has largely promoted the innovation and development of the expression of photography language. This article will systematically discuss the expression form of photography language under digital technology, hoping to provide reference and reference for photography art.",
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"affiliation": "Shandong Xiehe University",
"fullName": "Zhang Yanhua",
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"content": "3D photography is a fascinating way to synthesize novel views from limited captured views by using image-based rendering techniques. However, due to the lack of consideration on the light condition, the existing methods cannot achieve vivid results for augmented reality systems and virtual reality systems. In this paper, we present a physical-based framework that explicitly models 3D photography with relighting from a one-shot portrait. Instead of directly rendering new views, we first propose a facial albedo extraction network (FAE-Net) for synthesizing new views under different light conditions. In order to render more realistic reflected light, we come up with a solution for accurate mesh reconstruction through fine-grained portrait depth estimation. By taking advantage of these two technical components, our method is capable of generating novel views with different lighting conditions, which can faithfully deliver realistic rendered results. Extensive experiments show the proposed method can achieve better visual results.",
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"authors": [
{
"affiliation": "Beihang University,State Key Laboratory of VR Technology and Systems, School of Computer Science and Engineering",
"fullName": "Yunfei Liu",
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"affiliation": "Beihang University,State Key Laboratory of VR Technology and Systems, School of Computer Science and Engineering",
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"affiliation": "Beihang University,State Key Laboratory of VR Technology and Systems, School of Computer Science and Engineering",
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"abstract": "Neighboring points on a smoothly curved surface have similar surface orientations and illumination conditions. Hence, their brightness values can be used to compute the ratio of their reflectance coefficients. Based on this observation, an efficient algorithm is developed that estimates a reflectance ratio for each region in an image with respect to its background. The region reflectance ratio represents a physical property of a region that is invariant to the illumination conditions. The ratio invariant is used to recognize objects from a single brightness image of a scene. Experimental results demonstrate the power of using reflectance and geometric properties of objects simultaneously.<>",
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"title": "A Topology Structure Repair Algorithm for Triangular Mesh Model",
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"abstract": "Triangular mesh model built by existing surface reconstruction methods still have issues such as dislocation, serial hole, stitching and multilateral collinear. The model existing above-mentioned defects cannot generate standard STL file for 3D printing. To solve these problems, this paper propose a topology structure repair method for triangular mesh model, which containing four types detailed solutions targeting different topology errors. Moreover, in order to improve the effectiveness and superiority, we design a global error connected region and correlative data structure, which can achieve the aim of rapid detection and repair for different topology errors. The experiment results demonstrate that the method is effective in repairing irrational triangular mesh models.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Triangular mesh model built by existing surface reconstruction methods still have issues such as dislocation, serial hole, stitching and multilateral collinear. The model existing above-mentioned defects cannot generate standard STL file for 3D printing. To solve these problems, this paper propose a topology structure repair method for triangular mesh model, which containing four types detailed solutions targeting different topology errors. Moreover, in order to improve the effectiveness and superiority, we design a global error connected region and correlative data structure, which can achieve the aim of rapid detection and repair for different topology errors. The experiment results demonstrate that the method is effective in repairing irrational triangular mesh models.",
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"Topology",
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"affiliation": null,
"fullName": "Quan Wang",
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"fullName": "Pengfei Yang",
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"fullName": "Yuanyuan Jiang",
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"fullName": "Ling Huang",
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"affiliation": null,
"fullName": "Geyi Zhang",
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"title": "Conference Proceedings of the 2005 IEEE International Performance, Computing and Communications Conference",
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"doi": "10.1109/PCCC.2005.1460657",
"title": "Using /spl beta/-skeletons for localized topology control in wireless ad hoc networks",
"normalizedTitle": "Using /spl beta/-skeletons for localized topology control in wireless ad hoc networks",
"abstract": "We propose a novel approach for sparse topology generation in wireless ad hoc networks based on a graph structure known as /spl beta/-skeletons. Two efficient algorithms are presented in this paper for creating a connected topology from an underlying /spl beta/-skeleton. One algorithm is a localized algorithm that uses two-hop neighborhood information to generate a connected topology, with a running time of O(n). The other is a distributed algorithm that runs on each component of the /spl beta/-skeleton creating a connected structure from the disconnected /spl beta/-skeleton graph, the running time is O(nlogn). Simulations show consistent decrease in node degree in the resulting topology. The observed decrease is greater than 33% in comparison to the relative neighborhood graph (RNG) and greater than 50% in comparison to other topology structures such as, the Gabriel graph (GG) and the Yao construction on GG.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We propose a novel approach for sparse topology generation in wireless ad hoc networks based on a graph structure known as /spl beta/-skeletons. Two efficient algorithms are presented in this paper for creating a connected topology from an underlying /spl beta/-skeleton. One algorithm is a localized algorithm that uses two-hop neighborhood information to generate a connected topology, with a running time of O(n). The other is a distributed algorithm that runs on each component of the /spl beta/-skeleton creating a connected structure from the disconnected /spl beta/-skeleton graph, the running time is O(nlogn). Simulations show consistent decrease in node degree in the resulting topology. The observed decrease is greater than 33% in comparison to the relative neighborhood graph (RNG) and greater than 50% in comparison to other topology structures such as, the Gabriel graph (GG) and the Yao construction on GG.",
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"normalizedAbstract": "We propose a novel approach for sparse topology generation in wireless ad hoc networks based on a graph structure known as /spl beta/-skeletons. Two efficient algorithms are presented in this paper for creating a connected topology from an underlying /spl beta/-skeleton. One algorithm is a localized algorithm that uses two-hop neighborhood information to generate a connected topology, with a running time of O(n). The other is a distributed algorithm that runs on each component of the /spl beta/-skeleton creating a connected structure from the disconnected /spl beta/-skeleton graph, the running time is O(nlogn). Simulations show consistent decrease in node degree in the resulting topology. The observed decrease is greater than 33% in comparison to the relative neighborhood graph (RNG) and greater than 50% in comparison to other topology structures such as, the Gabriel graph (GG) and the Yao construction on GG.",
"fno": "01460657",
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"Telecommunication Network Topology",
"Ad Hoc Networks",
"Distributed Algorithms",
"Graph Theory",
"Sparse Topology Generation",
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"Graph Structure",
"Spl Beta Skeleton",
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"Nominations And Elections",
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"affiliation": "Dept. of Comput. Sci., Arizona State Univ., Tempe, AZ, USA",
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"affiliation": "Dept. of Comput. Sci., Arizona State Univ., Tempe, AZ, USA",
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"title": "2012 34th International Conference on Software Engineering (ICSE 2012)",
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"doi": "10.1109/ICSE.2012.6227186",
"title": "Automated repair of HTML generation errors in PHP applications using string constraint solving",
"normalizedTitle": "Automated repair of HTML generation errors in PHP applications using string constraint solving",
"abstract": "PHP web applications routinely generate invalid HTML. Modern browsers silently correct HTML errors, but sometimes malformed pages render inconsistently, cause browser crashes, or expose security vulnerabilities. Fixing errors in generated pages is usually straightforward, but repairing the generating PHP program can be much harder. We observe that malformed HTML is often produced by incorrect constant prints, i.e., statements that print string literals, and present two tools for automatically repairing such HTML generation errors. PHPQuickFix repairs simple bugs by statically analyzing individual prints. PHPRepair handles more general repairs using a dynamic approach. Based on a test suite, the property that all tests should produce their expected output is encoded as a string constraint over variables representing constant prints. Solving this constraint describes how constant prints must be modified to make all tests pass. Both tools were implemented as an Eclipse plugin and evaluated on PHP programs containing hundreds of HTML generation errors, most of which our tools were able to repair automatically.",
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"abstractType": "Regular",
"content": "PHP web applications routinely generate invalid HTML. Modern browsers silently correct HTML errors, but sometimes malformed pages render inconsistently, cause browser crashes, or expose security vulnerabilities. Fixing errors in generated pages is usually straightforward, but repairing the generating PHP program can be much harder. We observe that malformed HTML is often produced by incorrect constant prints, i.e., statements that print string literals, and present two tools for automatically repairing such HTML generation errors. PHPQuickFix repairs simple bugs by statically analyzing individual prints. PHPRepair handles more general repairs using a dynamic approach. Based on a test suite, the property that all tests should produce their expected output is encoded as a string constraint over variables representing constant prints. Solving this constraint describes how constant prints must be modified to make all tests pass. Both tools were implemented as an Eclipse plugin and evaluated on PHP programs containing hundreds of HTML generation errors, most of which our tools were able to repair automatically.",
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"normalizedAbstract": "PHP web applications routinely generate invalid HTML. Modern browsers silently correct HTML errors, but sometimes malformed pages render inconsistently, cause browser crashes, or expose security vulnerabilities. Fixing errors in generated pages is usually straightforward, but repairing the generating PHP program can be much harder. We observe that malformed HTML is often produced by incorrect constant prints, i.e., statements that print string literals, and present two tools for automatically repairing such HTML generation errors. PHPQuickFix repairs simple bugs by statically analyzing individual prints. PHPRepair handles more general repairs using a dynamic approach. Based on a test suite, the property that all tests should produce their expected output is encoded as a string constraint over variables representing constant prints. Solving this constraint describes how constant prints must be modified to make all tests pass. Both tools were implemented as an Eclipse plugin and evaluated on PHP programs containing hundreds of HTML generation errors, most of which our tools were able to repair automatically.",
"fno": "06227186",
"keywords": [
"HTML",
"Maintenance Engineering",
"Databases",
"Computer Bugs",
"Browsers",
"Cascading Style Sheets",
"USA Councils",
"String Constraints",
"PHP",
"Automated Repair"
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"affiliation": "Computer Science Department, University of California, Los Angeles, USA",
"fullName": "Hesam Samimi",
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"affiliation": "IBM T.J. Watson Research Center, Hawthorne, NY, USA",
"fullName": "Max Schäfer",
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"affiliation": "IBM T.J. Watson Research Center, Hawthorne, NY, USA",
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"affiliation": "Computer Science Department, University of California, Los Angeles, USA",
"fullName": "Todd Millstein",
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"affiliation": "IBM T.J. Watson Research Center, Hawthorne, NY, USA",
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"affiliation": "School of Computer Science, McGill University, Montreal, Canada",
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"abstract": "Error concealment methods on the stereoscopic video coding are mainly studied in cases of chess board type MB loss and/or continuous slice loss, and are less concerned for entire frame loss. In this paper, a novel error concealment scheme is proposed, dealing with the loss of an entire video frame in the right view sequence of a stereoscopic video. By the analysis of inter-view coding correlation, the MB partition mode, prediction mode, and the reference frame as well, can be determined, and then concealed under the Motion Skip mode. Simulation results show that the proposed scheme well exploits the inter-view correlation and PSNR of the restored frame can be improved by 0.12-1.87dB compared to the frame copy algorithm.",
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"content": "Error concealment methods on the stereoscopic video coding are mainly studied in cases of chess board type MB loss and/or continuous slice loss, and are less concerned for entire frame loss. In this paper, a novel error concealment scheme is proposed, dealing with the loss of an entire video frame in the right view sequence of a stereoscopic video. By the analysis of inter-view coding correlation, the MB partition mode, prediction mode, and the reference frame as well, can be determined, and then concealed under the Motion Skip mode. Simulation results show that the proposed scheme well exploits the inter-view correlation and PSNR of the restored frame can be improved by 0.12-1.87dB compared to the frame copy algorithm.",
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"abstract": "Automatically synthesizing 3D content from a causal monocular video has become an important problem. Previous works either use no geometry information, or rely on precise 3D geometry information. Therefore, they cannot obtain reasonable results if the 3D structure in the scene is complex, or noisy 3D geometry information is estimated from monocular videos. In this paper, we present an automatic and robust framework to synthesize stereoscopic videos from casual 2D monocular videos. First, 3D geometry information (e.g., camera parameters, depth map) are extracted from the 2D input video. Then a Bayesian-based View Synthesis (BVS) approach is proposed to render high-quality new virtual views for stereoscopic video to deal with noisy 3D geometry information. Extensive experiments on various videos demonstrate that BVS can synthesize more accurate views than other methods, and our proposed framework also be able to generate high-quality 3D videos.",
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"content": "Automatically synthesizing 3D content from a causal monocular video has become an important problem. Previous works either use no geometry information, or rely on precise 3D geometry information. Therefore, they cannot obtain reasonable results if the 3D structure in the scene is complex, or noisy 3D geometry information is estimated from monocular videos. In this paper, we present an automatic and robust framework to synthesize stereoscopic videos from casual 2D monocular videos. First, 3D geometry information (e.g., camera parameters, depth map) are extracted from the 2D input video. Then a Bayesian-based View Synthesis (BVS) approach is proposed to render high-quality new virtual views for stereoscopic video to deal with noisy 3D geometry information. Extensive experiments on various videos demonstrate that BVS can synthesize more accurate views than other methods, and our proposed framework also be able to generate high-quality 3D videos.",
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"abstract": "Immobilization of objects is crucial to robot hand grasping and manufacturing processes, and has therefore been studied extensively. Relatively little consideration has been given to the computation of all grasps of three-dimensional objects, and grasps that are insensitive to misplacements of the fingers. This paper contributes in both directions. Like Nguyen [22] (for two-dimensional objects), we achieve insensitivity to misplacements by determining combinations of regions on the object boundary that yield a form-closure grasp, no matter where the fingers are placed in each of these regions. We call such a combination of regions independent form-closure grasp regions. In this paper, we propose an efficient algorithm for computing all combinations of predefined face patches of a rectilinear polyhedron that form independent form-closure grasp regions with seven frictionless point fingers. This is the first efficient complete algorithm for computing independent form-closure grasp regions of a three-dimensional object. Our approach is based on a decomposition of the original problem in six-dimensional (wrench space) into two problems in three-dimensional subspaces. These problems, in turn, can be transformed into two-color intersection problems in the plane, which can be tackled efficiently using concepts and techniques from the field of computational geometry. The resulting algorithm has the advantage that its running time depends largely on the number of independent form-closure grasp regions reported.",
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"title": "Toward Human-Like Grasp: Dexterous Grasping via Semantic Representation of Object-Hand",
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"abstract": "In recent years, many dexterous robotic hands have been designed to assist or replace human hands in executing various tasks. But how to teach them to perform dexterous operations like human hands is still a challenging task. In this paper, we propose a grasp synthesis framework to make robots grasp and manipulate objects like human beings. We first build a dataset by accurately segmenting the functional areas of the object and annotating semantic touch code for each functional area to guide the dexterous hand to complete the functional grasp and post-grasp manipulation. This dataset contains 18 categories of 129 objects selected from four datasets, and 15 people participated in data annotation. Then we carefully design four loss functions to constrain the model, which successfully generates the functional grasp of dexterous hand under the guidance of semantic touch code. The thorough experiments in synthetic data show our model can robustly generate functional grasp, even for objects that the model has not see before.",
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"abstract": "Robotic grasping of house-hold objects has made remarkable progress in recent years. Yet, human grasps are still difficult to synthesize realistically. There are several key reasons: (1) the human hand has many degrees of freedom (more than robotic manipulators); (2) the synthesized hand should conform to the surface of the object; and (3) it should interact with the object in a semantically and physically plausible manner. To make progress in this direction, we draw inspiration from the recent progress on learning-based implicit representations for 3D object reconstruction. Specifically, we propose an expressive representation for human grasp modelling that is efficient and easy to integrate with deep neural networks. Our insight is that every point in a three-dimensional space can be characterized by the signed distances to the surface of the hand and the object, respectively. Consequently, the hand, the object, and the contact area can be represented by implicit surfaces in a common space, in which the proximity between the hand and the object can be modelled explicitly. We name this 3D to 2D mapping as Grasping Field, parameterize it with a deep neural network, and learn it from data. We demonstrate that the proposed grasping field is an effective and expressive representation for human grasp generation. Specifically, our generative model is able to synthesize high-quality human grasps, given only on a 3D object point cloud. The extensive experiments demonstrate that our generative model compares favorably with a strong baseline and approaches the level of natural human grasps. Furthermore, based on the grasping field representation, we propose a deep network for the challenging task of 3D hand-object interaction reconstruction from a single RGB image. Our method improves the physical plausibility of the hand-object contact reconstruction and achieves comparable performance for 3D hand reconstruction compared to state-of-the-art methods. Our model and code are available for research purpose at https://github.com/korrawe/grasping_field.",
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"content": "Robotic grasping of house-hold objects has made remarkable progress in recent years. Yet, human grasps are still difficult to synthesize realistically. There are several key reasons: (1) the human hand has many degrees of freedom (more than robotic manipulators); (2) the synthesized hand should conform to the surface of the object; and (3) it should interact with the object in a semantically and physically plausible manner. To make progress in this direction, we draw inspiration from the recent progress on learning-based implicit representations for 3D object reconstruction. Specifically, we propose an expressive representation for human grasp modelling that is efficient and easy to integrate with deep neural networks. Our insight is that every point in a three-dimensional space can be characterized by the signed distances to the surface of the hand and the object, respectively. Consequently, the hand, the object, and the contact area can be represented by implicit surfaces in a common space, in which the proximity between the hand and the object can be modelled explicitly. We name this 3D to 2D mapping as Grasping Field, parameterize it with a deep neural network, and learn it from data. We demonstrate that the proposed grasping field is an effective and expressive representation for human grasp generation. Specifically, our generative model is able to synthesize high-quality human grasps, given only on a 3D object point cloud. The extensive experiments demonstrate that our generative model compares favorably with a strong baseline and approaches the level of natural human grasps. Furthermore, based on the grasping field representation, we propose a deep network for the challenging task of 3D hand-object interaction reconstruction from a single RGB image. Our method improves the physical plausibility of the hand-object contact reconstruction and achieves comparable performance for 3D hand reconstruction compared to state-of-the-art methods. Our model and code are available for research purpose at https://github.com/korrawe/grasping_field.",
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"abstract": "The development of Doppler ultrasound allows us to convert the distribution of reflective ultrasound energy into colored blood flow imaging. The Doppler spectrogram also reveals the change of flow velocity over time when specifying an observation window inside the vessel wall. With the information doctors can visually search for abnormalities in blood vessels or valves from irregular patterns in the Doppler spectrogram within several cardiac cycles. Currently there are very few automatic analysis that can be applied to either color flow imaging or Doppler spectrogram. We hypothesize that the dynamics of flow speed in carotid could be an indicator to abnormalities on vascular wall like arteriosclerosis and stenosis. In this work the time-varying Doppler spectrogram during a carotid ultrasound exam was recorded as a video clip, and the image series were concatenated as a long spectrogram waveform image. To assess the carotid stiffness with previously developed nonlinear analysis and measures, the waveform image was further converted to 1-D signal by several proposed methods. Among them we found one that generated the most reasonable and less noisy curve, and expressed the dynamics of flow speed with minimal distortion.",
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"Arteriosclerosis",
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"abstract": "This paper presents a new approach to the problem of modeling nonstationary CW ultrasonic Doppler signals. A time-dependent ARMA model whose parameters vary periodically in time is proposed. The time variation of the model parameters is approximated by a weighted sum of a small number of Fourier base functions. It is seen that the spectral characteristics of the model output closely approximate to the spectral characteristics of the nonstationary CW ultrasonic Doppler signals. The technique is applied to blood flow velocity studies.",
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"content": "This paper presents a new approach to the problem of modeling nonstationary CW ultrasonic Doppler signals. A time-dependent ARMA model whose parameters vary periodically in time is proposed. The time variation of the model parameters is approximated by a weighted sum of a small number of Fourier base functions. It is seen that the spectral characteristics of the model output closely approximate to the spectral characteristics of the nonstationary CW ultrasonic Doppler signals. The technique is applied to blood flow velocity studies.",
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"abstract": "In this paper a real-time Doppler module is introduced. In order to reduce the noise and artifacts in the Doppler path, several efforts including emission waveform modification, orthogonal signal generator, range gating of signals, wall filters, section shielding and proper power supply and ground system are implemented. Spectrum estimation methods based on Fast Fourier Transformation (FFT) are carefully investigated with different window type selection, pre and post processing of the data. Finally this Doppler module is embedded into a mother ultrasonic sector scanner, CX-960-II, and high quality Doppler blood flow spectrum images are obtained.",
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"id": "trans/tg/2007/04/v0748",
"title": "Blood Flow in Its Context: Combining 3D B-Mode and Color Doppler Ultrasonic Data",
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"title": "Acoustics, Speech, and Signal Processing, IEEE International Conference on",
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"article": {
"id": "12OmNwEJ0Vt",
"doi": "10.1109/ICASSP.1992.226570",
"title": "Cost/benefit selection of spectral estimators for use with ultrasonic Doppler blood flow instruments",
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"abstract": "The work described is part of a research program aiming to increase the sensitivity to blood vessel disease detection using spectral analysis of Doppler shifted ultrasound scattered from blood by reducing the effects of the measurement procedure on the estimation of blood velocity and detection of flow disturbance. A criterion of selection of spectral estimation methods is described based on the accuracy of estimation of decisive signal parameters, under the constraint of low computational complexity. For parametric spectral estimators, this new cost/benefit criterion may also be used to select model order, leading to model orders significantly lower than those selected using accepted criteria.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The work described is part of a research program aiming to increase the sensitivity to blood vessel disease detection using spectral analysis of Doppler shifted ultrasound scattered from blood by reducing the effects of the measurement procedure on the estimation of blood velocity and detection of flow disturbance. A criterion of selection of spectral estimation methods is described based on the accuracy of estimation of decisive signal parameters, under the constraint of low computational complexity. For parametric spectral estimators, this new cost/benefit criterion may also be used to select model order, leading to model orders significantly lower than those selected using accepted criteria.",
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"normalizedAbstract": "The work described is part of a research program aiming to increase the sensitivity to blood vessel disease detection using spectral analysis of Doppler shifted ultrasound scattered from blood by reducing the effects of the measurement procedure on the estimation of blood velocity and detection of flow disturbance. A criterion of selection of spectral estimation methods is described based on the accuracy of estimation of decisive signal parameters, under the constraint of low computational complexity. For parametric spectral estimators, this new cost/benefit criterion may also be used to select model order, leading to model orders significantly lower than those selected using accepted criteria.",
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"affiliation": "Sch. of Electr. Eng. Sci., Univ. Coll. of North Wales, Bangor, UK",
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"affiliation": "Sch. of Electr. Eng. Sci., Univ. Coll. of North Wales, Bangor, UK",
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"doi": "10.1109/ICCCNT.2012.6396025",
"title": "Lab VIEW based noise removal and baseline correction for doppler ultrasound blood flow applications",
"normalizedTitle": "Lab VIEW based noise removal and baseline correction for doppler ultrasound blood flow applications",
"abstract": "Doppler Ultrasound has been widely used in the measurement of blood flow parameters such as blood velocity, blood pressure etc. Success of the automated quantification algorithms for these variables depends on the interference or noise free strength of the signal and position of the base line with respect to zero. Preprocessing and baseline correction techniques suitable for accurate measurement of these parameters are compared in this work. A 1 KHz calibration signal from the vascular Doppler recorder is used as a reference signal for this purpose. Performances of Butterworth low pass filters with different orders and detrending methods employing different wavelets are compared in terms of mean square error (MSE) in this paper. This has resulted in successful measurements of blood velocity of brachial, DorsalisPedis and post tibial vein.",
"abstracts": [
{
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"content": "Doppler Ultrasound has been widely used in the measurement of blood flow parameters such as blood velocity, blood pressure etc. Success of the automated quantification algorithms for these variables depends on the interference or noise free strength of the signal and position of the base line with respect to zero. Preprocessing and baseline correction techniques suitable for accurate measurement of these parameters are compared in this work. A 1 KHz calibration signal from the vascular Doppler recorder is used as a reference signal for this purpose. Performances of Butterworth low pass filters with different orders and detrending methods employing different wavelets are compared in terms of mean square error (MSE) in this paper. This has resulted in successful measurements of blood velocity of brachial, DorsalisPedis and post tibial vein.",
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"title": "2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC)",
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"title": "A locally adaptive Casorati-SVD clutter filtering to improve ultrafast color Doppler imaging",
"normalizedTitle": "A locally adaptive Casorati-SVD clutter filtering to improve ultrafast color Doppler imaging",
"abstract": "For ultrafast color Doppler, the singular value decomposition (SVD) algorithm based on the spatial difference of the Doppler signals is more suitable to suppress clutter than the high-pass filter, but is limited with the determination of the filtering threshold. In this paper, a locally adaptive Casorati-SVD clutter filtering method is proposed to improve the color flow imaging with ultrafast ultrasound. The time sequence of radio frequency (RF) signals is divided into several local regions in the two-dimensional scanning plane, and reconstructed separately to generate Casorati matrices. The singular value decomposition is performed on these matrices to obtain the singular value energy series curve and its second derivative. Clutter components, whose singular value is higher than the inflection point of the second derivative curve are filtered out. In in-vivo experiments based on 10 healthy human carotid arteries, color flow imaging results obtained with the proposed method exhibit more complete vessel lumen and more accurate low-velocities than those obtained with the conventional SVD with global threshold. Furthermore, the goodness-fit R2 of the blood flow velocity profile is increased by 13.04% on average. In conclusion, the proposed method is helpful for ultrafast ultrasound color blood flow imaging in clinical diagnosis.",
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"content": "For ultrafast color Doppler, the singular value decomposition (SVD) algorithm based on the spatial difference of the Doppler signals is more suitable to suppress clutter than the high-pass filter, but is limited with the determination of the filtering threshold. In this paper, a locally adaptive Casorati-SVD clutter filtering method is proposed to improve the color flow imaging with ultrafast ultrasound. The time sequence of radio frequency (RF) signals is divided into several local regions in the two-dimensional scanning plane, and reconstructed separately to generate Casorati matrices. The singular value decomposition is performed on these matrices to obtain the singular value energy series curve and its second derivative. Clutter components, whose singular value is higher than the inflection point of the second derivative curve are filtered out. In in-vivo experiments based on 10 healthy human carotid arteries, color flow imaging results obtained with the proposed method exhibit more complete vessel lumen and more accurate low-velocities than those obtained with the conventional SVD with global threshold. Furthermore, the goodness-fit R2 of the blood flow velocity profile is increased by 13.04% on average. In conclusion, the proposed method is helpful for ultrafast ultrasound color blood flow imaging in clinical diagnosis.",
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"abstract": "An efficient method, which is called particle triangular patch scanning ray tracing algorithm on the basis of convex geometry (PTPSRTACG), is presented to specify an incident ray, its corresponding impinging points on the particle surface and propagating process inside the particle necessary to the ray tracing. It is applicable for a particle of arbitrary shape. This ray tracing method can contribute to scientific visualization and Interactive techniques and virtual reality.",
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{
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"content": "An efficient method, which is called particle triangular patch scanning ray tracing algorithm on the basis of convex geometry (PTPSRTACG), is presented to specify an incident ray, its corresponding impinging points on the particle surface and propagating process inside the particle necessary to the ray tracing. It is applicable for a particle of arbitrary shape. This ray tracing method can contribute to scientific visualization and Interactive techniques and virtual reality.",
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"title": "Exploiting Hardware-Accelerated Ray Tracing for Monte Carlo Particle Transport with OpenMC",
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"content": "OpenMC is a CPU-based Monte Carlo particle transport simulation code recently developed in the Computa- tional Reactor Physics Group at MIT, and which is currently being evaluated by the UK Atomic Energy Authority for use on the ITER fusion reactor project. In this paper we present a novel port of OpenMC to run on the new ray tracing (RT) cores in NVIDIA's latest Turing GPUs. We show here that the OpenMC GPU port yields up to 9.8× speedup on a single node over a 16-core CPU using the native constructive solid geometry, and up to 13× speedup using approximate triangle mesh geometry. Furthermore, since the expensive 3D geometric operations re- quired during particle transport simulation can be formulated as a ray tracing problem, there is an opportunity to gain even higher performance on triangle meshes by exploiting the RT cores in Turing GPUs to enable hardware-accelerated ray tracing. Extending the GPU port to support RT core acceleration yields between 2× and 20× additional speedup. We note that geometric model complexity has a significant impact on performance, with RT core acceleration yielding comparatively greater speedups as complexity increases. To the best of our knowledge, this is the first work showing that exploitation of RT cores for scientific workloads is possible. We finish by drawing conclusions about RT cores in terms of wider applicability, limitations and performance portability.",
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"abstract": "The boiler thermal control system is well known with the characteristic of slow time-varying, large lag and large inertia. Adopting generalized Jordan block and algebra equivalence transform method, all of the transfer functions at different load points is transformed to state-space description with time variable. According to engineering practice of control strategy based on incremental function observer and combined PID, the stability robustness is studied and present some corresponding infers. The simulation and engineering have testified the correctness of theoretical analysis and steady robustness of the system.",
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"title": "Stability enhancement of fuel cell generation system including DVR",
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"abstract": "Due to massive increase in prices of fossil fuels as well as alarming rate of environmental pollution, researchers and scientists are paying good number of attentions towards sustainable energy and technology. Among various sources of renewable energy, fuel cell technology is becoming quite popular now a days. A comprehensive analysis of fuel cell generation and stability enhancement has been presented in this paper. A detailed generation topology of fuel cell system including inverter modeling is focused. To enhance the stability of fuel cell system power electronics based dynamic voltage restorer (DVR) is introduced. A symmetrical fault (3 L-G) and an unsymmetrical fault (1 L-G) are applied in this test system. The stability enhancement using this control strategy has been verified by the time domain simulation model developed in MATLAB/SIMULINK.",
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"DVR",
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"affiliation": "Department of Electrical and Electronic Engineering, Daffodil International University, Dhaka, Bangladesh",
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"affiliation": "Department of Electrical and Electronic Engineering, Daffodil International University, Dhaka, Bangladesh",
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"affiliation": "Department of Electrical and Electronic Engineering, Daffodil International University, Dhaka, Bangladesh",
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"abstract": "Scientists from many disciplines now routinely use modeling and simulation techniques to study physical and biological phenomena. Advances in high-performance architectures and networking have made it possible to build complex simulations with parallel and distributed interacting components. Unfortunately, the software needed to support such complex simulations has lagged behind hardware developments. We focus here on one aspect of such support: runtime program interaction. We have developed a runtime interaction framework and we have implemented a specific instance of it for an application in seismic tomography. That instance, called TierraLab, extends the geoscientists' existing (legacy) tomography code with runtime interaction capabilities which they access through a MATLAB interface. The scientist can stop a program, retrieve data, analyze and visualize that data with existing MATLAB routines, modify the data, and resume execution. They can do this all within a familiar MATLAB-like environment without having to be concerned with any of the low- level details of parallel or distributed data distribution. Data distribution is handled transparently by the Distributed Array Query and Visualization (DAQV) system. Our framework allows scientists to construct and maintain their own customized runtime interaction system.",
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"proceeding": {
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"title": "2009 IEEE 12th International Conference on Computer Vision (ICCV)",
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"title": "Efficient human pose estimation via parsing a tree structure based human model",
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"abstract": "Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. visual interactive gaming, immersive virtual reality, content-based image retrieval, etc. However, it remains a challenging task because of unknown image background, presence of clutter, partial occlusion and especially the high dimensional state space (usually 30+ dimensions). In this paper, we contribute to human pose estimation in two aspects. First, we design two efficient Markov Chain dynamics under the data-driven Markov Chain Monte Carlo (DDMCMC) framework to effectively explore the complex solution space. Second, we parse the tree structure state space into a lexicographic order according to the image observations and body topology, and the optimization process is conducted in this order. This realizes a much more efficient exploration than the sampling based search and exhaustive search, and thus achieves a tremendous speed-up. Experimental results demonstrate the efficiency and effectiveness of the proposed method in estimating various kinds of human poses, even with cluttered background , poor illumination or partial self-occlusion.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. visual interactive gaming, immersive virtual reality, content-based image retrieval, etc. However, it remains a challenging task because of unknown image background, presence of clutter, partial occlusion and especially the high dimensional state space (usually 30+ dimensions). In this paper, we contribute to human pose estimation in two aspects. First, we design two efficient Markov Chain dynamics under the data-driven Markov Chain Monte Carlo (DDMCMC) framework to effectively explore the complex solution space. Second, we parse the tree structure state space into a lexicographic order according to the image observations and body topology, and the optimization process is conducted in this order. This realizes a much more efficient exploration than the sampling based search and exhaustive search, and thus achieves a tremendous speed-up. Experimental results demonstrate the efficiency and effectiveness of the proposed method in estimating various kinds of human poses, even with cluttered background , poor illumination or partial self-occlusion.",
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"affiliation": "National Laboratory of Pattern Recognition, Institute of Automation, Beijing, China",
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"affiliation": "School of Computer Science and Information Systems, Birkbeck College, London, UK",
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"abstract": "The approximation tree is a hybrid, hierarchical data structure for real-time terrain visualization which represents both geometry data and texture data of a terrain in a hierarchical manner. This framework can integrate different multiresolution modeling techniques operating on different types of data sets such as TINs, regular grids, and non-regular grids. An approximation tree recursively aggregates terrain patches which reference geometry data and texture data. The rendering algorithm selects patches based on a geometric approximation error and a texture approximation error. Terrain shading and thematic texturing, which can be generated in a preprocessing step, improve the visual quality of level of detail models and eliminate the defects resulting from a Gouraud shaded geometric model since they do not depend on the current (probably reduced) geometry. The approximation tree can be implemented efficiently using object-oriented design principles. A case study for cartographic landscape visualization illustrates the use of approximation trees.",
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"abstract": "In this paper, we introduce a fast simplification algorithm for terrain height fields to produce a triangulated irregular network, based on the greedy insertion algorithm in [1,4,5]. Our algorithm partitions a terrain height data into rectangular blocks with the same size and simplifies blocks one by one with the greedy insertion algorithm. Our algorithm references only to the points and the triangles within each current block for adding a point into the triangulation. Therefore, our algorithm runs faster than the greedy insertion algorithm, which references all input points and triangles in the terrain. Our experiment shows that partitioning method runs from 4 to more than 20 times faster, and it approximates test height fields as accurately as the greedy insertion algorithms. Most greedy insertion algorithms suffer from elongated triangles that usually appear near the boundaries. However, we insert the four corner points into each block to produce the base triangulation of the block before the point addition step begins so that elongated triangles could not appear in the simplified terrain.",
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"abstract": "This paper investigates how the accuracy of astandalone GPS receiver changes when the height derived from a Digital Terrain Model (DTM) is used as an extra equation in the single-point least squares solution. The results show that height aiding using a DTM can improve the accuracy of a GPS receiver when the number of satellites is low and PDOP (Position Dilution of Precision) is high.",
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|
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