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计算机视觉 ECCV2002,第1部分LNCS-2350: Computer vision-ECCV 2002 , Part I书籍详细信息
- ISBN:9783540437451
- 作者:暂无作者
- 出版社:暂无出版社
- 出版时间:2002-12
- 页数:817
- 价格:835.30
- 纸张:胶版纸
- 装帧:平装
- 开本:暂无开本
- 语言:未知
- 丛书:暂无丛书
- TAG:暂无
- 豆瓣评分:暂无豆瓣评分
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.
书籍目录:
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
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在线阅读地址:计算机视觉 ECCV2002,第1部分LNCS-2350: Computer vision-ECCV 2002 , Part I在线阅读
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The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available.
The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes.
-proceedings(published in time for the respective conference)
-post-proceedings(consisting of thoroughly revised final full papers)
-research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.)
书籍介绍
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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.
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