Biologically Motivated Computer Vision : First IEEE International Workshop BMCV 2000, Seoul, Korea, May 15-17, 2000 Proceedings - Seong-Whang Lee

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Biologically Motivated Computer Vision

First IEEE International Workshop BMCV 2000, Seoul, Korea, May 15-17, 2000 Proceedings

By: Seong-Whang Lee (Editor), Heinrich H. Bülthoff (Editor), Tomaso Poggio (Editor)

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Paperback | 3 May 2000

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676 Pages

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It is our great pleasure and honor to organize the First IEEE Computer Society International Workshop on Biologically Motivated Computer Vision (BMCV 2000). The workshop BMCV 2000 aims to facilitate debates on biologically motivated vision systems and to provide an opportunity for researchers in the area of vision to see and share the latest developments in state-of-the-art technology. The rapid progress being made in the field of computer vision has had a tremendous impact on the modeling and implementation of biologically motivated computer vision. A multitude of new advances and findings in the domain of computer vision will be presented at this workshop. By December 1999 a total of 90 full papers had been submitted from 28 countries. To ensure the high quality of workshop and proceedings, the program committee selected and accepted 56 of them after a thorough review process. Of these papers 25 will be presented in 5 oral sessions and 31 in a poster session. The papers span a variety of topics in computer vision from computational theories to their implementation. In addition to these excellent presentations, there will be eight invited lectures by distinguished scientists on "hot" topics. We must add that the program committee and the reviewers did an excellent job within a tight schedule.

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Invited Paper (1)
CBF: A New Framework for Object Categorization in Cortex	p. 1
Invited Paper (2)
The Perception of Spatial Layout in a Virtual World	p. 10
Segmentation, Detection and Object Recognition
Towards a Computational Model for Object Recognition in IT Cortex	p. 20
Straight Line Detection as an Optimization Problem: An Approach Motivated by the Jumping Spider Visual System	p. 32
Factorial Code Representation of Faces for Recognition	p. 42
Distinctive Features Should Be Learned	p. 52
Moving Object Segmentation Based on Human Visual Sensitivity	p. 62
Invited Paper (3)
Object Classification Using a Fragment-Based Representation	p. 73
Computational Model
Confrontation of Retinal Adaptation Model with Key Features of Psychophysical Gain Behavior Dynamics	p. 88
Polarization-Based Orientation in a Natural Environment	p. 98
Computation Model of Eye Movement in Reading Using Foveated Vision	p. 108
New Eyes for Shape and Motion Estimation	p. 118
Top-Down Attention Control at Feature Space for Robust Pattern Recognition	p. 129
A Model for Visual Camouflage Breaking	p. 139
Active and Attentive Vision
Development of a Biologically Inspired Real-Time Visual Attention System	p. 150
Real-Time Visual Tracking Insensitive to Three-Dimensional Rotation of Objects	p. 160
Heading Perception and Moving Objects	p. 168
Dynamic Vergence Using Disparity Flux	p. 179
Invited Paper (4)
Computing in Cortical Columns: Curve Inference and Stereo Correspondence	p. 189
Invited Paper (5)
Active Vision from Multiple Cues	p. 209
Posters
An Efficient Data Structure for Feature Extraction in a Foveated Environment	p. 217
Parallel Trellis Based Stereo Matching Using Constraints	p. 227
Unsupervised Learning of Biologically Plausible Object Recognition Strategies	p. 238
Structured Kalman Filter for Tracking Partially Occluded Moving Objects	p. 248
Face Recognition under Varying Views	p. 258
Time Delay Effects on Dynamic Patterns in a Coupled Neural Model	p. 268
Pose-Independent Object Representation by 2-D Views	p. 276
An Image Enhancement Technique Based on Wavelets	p. 286
Front-End Vision: A Multiscale Geometry Engine	p. 297
Face Reconstruction Using a Small Set of Feature Points	p. 308
Modeling Character Superiority Effect in Korean Characters by Using IAM	p. 316
Wavelet-Based Stereo Vision	p. 326
A Neural Network Model for Long-Range Contour Diffusion by Visual Cortex	p. 336
Automatic Generation of Photo-Realistic Mosaic Image	p. 343
The Effect of Color Differences on the Detection of the Target in Visual Search	p. 353
A Color-Triangle-Based Approach to the Detection of Human Face	p. 359
Multiple People Tracking Using an Appearance Model Based on Temporal Color	p. 369
Face and Facial Landmarks Location Based on Log-Polar Mapping	p. 379
Biology-Inspired Early Vision System for a Spike Processing Neurocomputer	p. 387
A New Line Segment Grouping Method for Finding Globally Optimal Line Segments	p. 397
A Biologically-Motivated Approach to Image Representation and Its Application to Neuromorphology	p. 407
A Fast Circular Edge Detector for the Iris Region Segmentation	p. 418
Face Recognition Using Foveal Vision	p. 417
Fast Distance Computation with a Stereo Head-Eye System	p. 424
Bio-inspired Texture Segmentation Architectures	p. 444
3D Facial Feature Extraction and Global Motion Recovery Using Multi-modal Information	p. 453
Evaluation of Adaptive NN-RBF Classifier Using Gaussian Mixture Density Estimates	p. 463
Scene Segmentation by Chaotic Synchronization and Desynchronization	p. 473
Electronic Circuit Model of Color Sensitive Retinal Cell Network	p. 482
The Role of Natural Image Statistics in Biological Motion Estimation	p. 492
Enhanced Fisherfaces for Robust Face Recognition	p. 502
Invited Paper (6)
A Humanoid Vision System for Versatile Interaction	p. 512
ICA and Space-Variant Imaging
The Spectral Independent Components of Natural Scenes	p. 527
Topographic ICA as a Model of Natural Image Statistics	p. 535
Independent Component Analysis of Face Images	p. 545
Orientation Contrast Detection in Space-Variant Images	p. 554
Multiple Object Tracking in Multiresolution Image Sequences	p. 564
A Geometric Model for Cortical Magnification	p. 574
Neural Networks and Applications
Tangent Fields from Population Coding	p. 584
Efficient Search Technique for Hand Gesture Tracking in Three Dimensions	p. 594
Robust, Real-Time Motion Estimation from Long Image Sequences Using Kalman Filtering	p. 602
T-CombNET - A Neural Network Dedicated to Hand Gesture Recognition	p. 613
Invited Paper (7)
Active and Adaptive Vision: Neural Network Models	p. 623
Invited Paper (8)
Temporal Structure in the Input to Vision Can Promote Spatial Grouping	p. 635
Author Index	p. 655
Table of Contents provided by Publisher. All Rights Reserved.

Biologically Motivated Computer Vision

First IEEE International Workshop BMCV 2000, Seoul, Korea, May 15-17, 2000 Proceedings

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Paperback

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