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计算机视觉 ECCV2002,第三部分 Computer vision-ECCV 2002 , Part III

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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: 918印刷时间: 2002/12/01开本:印次:纸张: 胶版纸I S B N : 9783540437468包装: 平装编辑推荐

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.)

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

Shape

3D Statistical Shape Models Using Direct Optimisation ofDescription Length

Approximate Thin Plate Spline Mappings

DEFORMOTION: Deforming Motion, Shape Average and the JointRegistration and Segmentation of Images

Region Matching with Missing Parts

Stereoscopic Vision I

What Energy Functions Can Be Minimized via Graph Cuts?

Multi-camera Scene Reconstruction via Graph Cuts

A Markov Chain Monte Carlo Approach to Stereovision

A Probabilistic Theory of Occupancy and Emptiness

Texture Shading and Colour / Grouping and Segmentation Object Recognition

Texture Similarity Measure Using Kullback-Leibler Divergencebetween Gamma Distributions

All the Images of an Outdoor Scene

Recovery of Reflectances and Varying Illuminants from Multiple Views

Composite Texture Descriptions

Constructing Illumination Image Basis from Object Motion

Diffuse-Specular Separation and Depth Recovery from Image Sequences

Shape from Texture without Boundaries

Statistical Modeling of Texture Sketch

Classifying Images of Materials: Achieving Viewpoint andIllumination Independence

Estimation of Multiple Illuminants from a Single Image ofArbitrary Known Geometry

The Effect of Illuminant Rotation on Texture Filters: Lissajous'sEllipses

On Affine Invariant Clustering and Automatic Cast Listing in Movies

Factorial Markov Random Fields

Evaluation and Selection of Models for Motion Segmentation

Surface Extraction from Volumetric Images Using Deformable MeshesA Comparative Study

DREAM2S: Deformable Regions Driven by an Eulerian AccurateMinimization Method for Image and Video Segmentatio(Application to Face Detection in Color Video Sequences)

Neuro-Fuzzy Shadow Filter

Parsing Images into Region and Curve Processes

……

Stereoscopic Vision II

Author Index

 
 
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