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2nd International Conference on Transportation Engineering, ICTE 2009

作者： Sheng, Peng Liu, Yiguang Tang, Peng Gao, Lin Yang, Menglong School of Computer Science Sichuan University Chengdu 610064 China Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense Sichuan University Chengdu 610064 China

ISBN: (纸本)9780784410394

In this paper, we present an improved prefactor function of the Helbing model based on the three-phase theory. The new prefactor function takes into account multi critical points in the transition of traffic flow to calculate the fluctuation of synchronized flow. Corresponding to the new function, the primary expressions of the Helbing model have been improved to reflect the complex property of the overlap region in the transition. Then we process the empirical data and calibrate all parameters of the new model by the method similar to the Helbing's. As demonstrated by various examples and empirical data, the new model has simulated traffic flow closer to reality than before. Copyright ASCE 2009.

关键词： Helbing model Multi critical points Prefactor function Three-phase theory

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A geometric deformation model for stable cloth simulation

A geometric deformation model for stable cloth simulation

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5th Workshop on Virtual Reality Interactions and Physical Simulations, VRIPHYS 2008

作者： Stumpp, Thomas Spillmann, Jonas Becker, Markus Teschner, Matthias Computer Graphics University of Freiburg Germany Compxuter Vision Laboratory ETH Zurich Switzerland

ISBN: (纸本)9783905673708

We propose an adapted shape-matching approach for the efficient and robust simulation of clothing. A combination of two different cluster types is employed to account for high stretching and shearing, and low bending resistance. Due to the inherent handling of overshooting issues, the proposed shape-matching deformation model is robust. The proposed cluster types allow for a computationally efficient handling of bending. The geometric deformation model is combined with a novel collision handling approach. The technique employs spatial subdivision to detect collisions and self-collisions. The response scheme is derived from an existing approach for elastic rods. To illustrate the physically plausible dynamics of our approach, it is compared to a traditional physically-based deformation model. Experiments indicate that similar cloth properties can be reproduced with both models. The computational efficiency of the proposed scheme enables the interactive animation of clothing and shells. © The Eurographics Association 2008.

关键词： Computational efficiency

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Training sequential on-line boosting classifier for visual tracking

Training sequential on-line boosting classifier for visual t...

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作者： Grabner, Helmut Šochman, Jan Bischof, Horst Matas, Jiří Institute for Computer Graphics and Vision Graz University of Technology Austria Center for Machine Perception Czech Technical University Prague Czech Republic Computer Vision Laboratory ETH Zurich Switzerland

ISBN: (纸本)9781424421756

On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-line boosting training remain unsolved: (i) classifier evaluation speed optimization and, (ii) automatic classifier complexity estimation. In this paper we show how the on-line boosting can be combined with Wald's sequential decision theory to solve both of the problems. The properties of the proposed on-lineWaldBoost algorithm are demonstrated on a visual tracking problem. The complexity of the classifier is changing dynamically depending on the difficulty of the problem. On average, a speedup of a factor of 5-10 is achieved compared to the non-sequential on-line boosting. © 2008 IEEE.

关键词： Decision theory

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On the problem of determination of spring stiffness parameters for spring-mesh models

On the problem of determination of spring stiffness paramete...

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Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008

作者： Quang Huy Viet, Huynh Hirai, Shinichi Shirai, Yoshiaki Yamaguchi, Satoshi Tanaka, Hiromi T. Kawasaki, Hiroshi Kawai, Yukiko Computer Vision and Graphics Laboratory Department of Information and Computer Science Saitama University Saitama Japan Laboratory for Integrated Machine Intelligence Department of Robotics Ritsumeikan University Kusatsu Japan Computer Vision Lab. Department of Human and Computer Intelligence Ritsumeikan University Kusatsu Japan Kawai Lab. Department of Computer Science Kyoto Sangyo University Kyoto Japan

ISBN: (纸本)9781586038229

On account of having real-time behavior and being easy to implement, spring meshes have been used for modeling deformable objects. Determining spring stiffness parameters for simulation of soft objects with high accuracy still remains a challenge. Allen Van Gelder derived an approximate formula for determining spring stiffness parameters based on strain analysis. Even though the experimental result showed the effectiveness, the method has not been investigated from a quantitative point of view. In this paper we propose a quantitative method for determining spring stiffness parameters. Moreover we propose a method to improve the accuracy by way of introducing torsional spring into the conventional spring mesh model. © 2008 The authors. All rights reserved.

关键词： Stiffness matrix

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Stability analysis for the generalized Hopfield neural networks with multi-level activation functions

Stability analysis for the generalized Hopfield neural netwo...

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作者： Liu, Yiguang You, Zhisheng Institute of Image and Graphics Key Laboratory of Fundamental Synthetic Vision Graphics and Image for National Defense Sichuan University Chengdu 610064 China School of Computer Science and Engineering Sichuan University Chengdu 610064 China

Using the continuity property of neuron state variables and Lyapunov functional, this paper religiously gives sufficient conditions ensuring the equilibrium number, local stable state number, global stability and complete stability of the Hopfield neural networks with multi-level activation functions. Compared with the known relevant literatures, the obtained results are more precise. Finally, three examples are employed to illustrate the obtained criteria. © 2008 Elsevier B.V. All rights reserved.

关键词： Hopfield neural networks

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Image Mosaic Based on SIFT and Deformation Propagation

Image Mosaic Based on SIFT and Deformation Propagation

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International Symposium on Knowledge Acquisition and Modeling, KAM

作者： Li Yao Computer Graphics and Computer Vision Laboratory South-East University Nanjing China

This paper concerns the problem of automatic image stitching which mainly applies to the image sequence. Our proposed method gets the features based on scale invariant feature transform and finds the match pairs. Then we use feature deformation vectors and propagate them from the optimal partitions toward other pixels in the input images. The experiment results confirm the feasibility of our methods.

关键词： Cameras Feature extraction Image databases Spatial databases computer vision computer graphics Image sequences Pixel Brightness Radiometry

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Estimation Illumination Chromaticity

Estimation Illumination Chromaticity

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International Symposium on Intelligent Information Technology Application, IITA

作者： Li Yao Computer Graphics & Vision Laboratory South-East University Nanjing Jiangsu China

Color constancy is important for pattern recognition and image understanding. Based on simplified BRDF model, we use voting method to detect the high light areas. Then the pixels in the high light areas are projected to the inverse-intensity space. In the inverse-intensity space, the correlation of image chromaticity, inverse-intensity, and illumination chromaticity is linear. So we can estimate the Illumination chromaticity. The experiments demonstrate that our algorithm have no limit on the objects' material and texture and contain the color constancy after the illumination chromaticity correction.

关键词： Lighting Optical reflection Cameras Layout Color Surface texture Information technology Application software computer graphics Pattern recognition

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Training sequential on-line boosting classifier for visual tracking

Training sequential on-line boosting classifier for visual t...

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International Conference on Pattern Recognition

作者： Helmut Grabner Jan Sochman Horst Bischof Jiri Matas Institute for Computer Graphics and Vision Graz University of Technology Austria Computer Vision Laboratory ETH Zurich Switzerland Center for Machine Perception Czech Technical University Prague Czech Republic

ISBN: (纸本)9781424421749

On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-line boosting training remain unsolved: (i) classifier evaluation speed optimization and, (ii) automatic classifier complexity estimation. In this paper we show how the on-line boosting can be combined with Waldpsilas sequential decision theory to solve both of the problems. The properties of the proposed on-line WaldBoost algorithm are demonstrated on a visual tracking problem. The complexity of the classifier is changing dynamically depending on the difficulty of the problem. On average, a speedup of a factor of 5-10 is achieved compared to the non-sequential on-line boosting.

关键词： Boosting Decision theory computer graphics computer vision Training data Object detection Detectors Decision making Diversity reception Voting

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Correction to "Brain - computer communication: Motivation, aim, and impact of exploring a virtual apartment"

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IEEE Transactions on Neural Systems and Rehabilitation Engineering 2008年第1期16卷 119-119页

作者： Robert Leeb Felix Lee Claudia Keinrath Reinhold Scherer Horst Bischof Gert Pfurtscheller Laboratory of Brain–Computer Interfaces Institute for Knowledge Discovery Graz University of Technology Graz Austria Institute of Computer Graphics and Vision Graz University of Technology Graz Austria

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Modelling and handling seams in wide-area sensor networks

Modelling and handling seams in wide-area sensor networks

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10th IEEE International Symposium on Wearable computers, ISWC 2006

作者： Newman, Joseph Schall, Gerhard Schmalstieg, Dieter Institute for Computer Graphics and Vision Graz University of Technology Computer Laboratory University of Cambridge

ISBN: (纸本)1424405971

The fields of Wearable Computing, Augmented Reality and Ubiquitous Computing are in principle highly convergent, as they all promise a utopian future in which the devices embedded in the environment, our bodies and our clothes will have reached a level integration such that we can intuitively perceive and interact with our environment. However, the reality as practised in research labs and limited commercial deployments has been that budgetary and technical constraints have actually kept these fields separate and distinct. One manifestation of this separation is in the choice of sensors used to build systems in each domain. A truly cross-disciplinary project has to incorporate sensors of much greater heterogeneity than has occurred heretofore. The way in which sensors are deployed results in spatial seams that can act as obstacles to the provision of services across different areas. This paper takes an architectural approach to handling events from different tracking systems and maintaining a consistent spatial model of people and objects. The principal distinguishing feature is the automatic derivation of dataflow network of distributed sensors, dynamically and at run-time, based on requirements expressed by clients. © 2006 IEEE.

关键词： Sensor networks

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