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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
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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.


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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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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