计算机视觉 ECCV2002,第1部分LNCS-2350: Computer vision-ECCV 2002 , Part I
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作者： Anders Heyden著
出 版 社： 湖南文艺出版社
出版时间： 2002-12-1字数：版次： 1页数： 817印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540437451包装： 平装编辑推荐
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内容简介
The four-volume set comprising LNCS volumes 2350/2351/2352/2353 constitutes the refereed proceedings of the 7th European Conference on Computer Vision, ECCV 2002, held in Copenhagen, Denmark, in May 2002.
The 226 revised full papers presented were carefully reviewed and selected from a total of around 600 submissions. The four books offer topical sections on active and real-time vision, image features, visual motion, surface geometry, grouping and segmentation, stereoscopic vision, structure from motion, shape, object recognition, color and shading, vision systems, statistical learning, robot vision, and calibration.
目录
Active and Real-Time Vision
Tracking with the EM Contour Algorithm
M2Tracker: A Multi-view Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo
Image Features
Analytical Image Models and Their Applications
Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
Combining Appearance and Topology for Wide Baseline Matching
Guided Sampling and Consensus for Motion Estimation
Image Features / Visual Motion
Fast Anisotropic Gauss Filtering
Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization
An Affine Invariant Interest Point Detector
Understanding and Modeling the Evolution of Critical Points under Gaussian Blurring
Image Processing Done Right
Multimodal Data Representations with Parameterized Local Structures.
The Relevance of Non-genetic Events in Scale Space Models
The Localized Consistency Principle for Image Matching under Non-uniform Illumination Variation and Affine Distortion
Resolution Selection Using Generalized Entropies of Multiresolution Histograms
Robust Computer Vision through Kernel Density Estimation
Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization
A Hierarchical Framework for Spectral Correspondence
Phase-Based Local Features
What Is the Role of Independence for Visual Recognition?
A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics
Toward a Full Probability Model of Edges in Natural Images
Fast Difference Schemes for Edge Enhancing Beltrami Flow
A Fast Radial Symmetry Transform for Detecting Points of Interest
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters
Representing Edge Models via Local Principal Component Analysis.
Regularized Shock Filters and Complex Diffusion
……
Visual Motion
Author Index
