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Computer Vision — ECCV 2002 : 7th European Conference on Computer Vision Copenhagen, Denmark, May 28–31, 2002 Proceedings, Part III

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Cover of 'Computer Vision — ECCV 2002 : 7th European Conference on Computer Vision Copenhagen, Denmark, May 28–31, 2002 Proceedings, Part III'

Table of Contents

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    Book Overview
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    Chapter 1 3D Statistical Shape Models Using Direct Optimisation of Description Length
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    Chapter 2 Approximate Thin Plate Spline Mappings
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    Chapter 3 DEFORMOTION Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images
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    Chapter 4 Region Matching with Missing Parts
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    Chapter 5 What Energy Functions Can Be Minimized via Graph Cuts?
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    Chapter 6 Multi-camera Scene Reconstruction via Graph Cuts
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    Chapter 7 A Markov Chain Monte Carlo Approach to Stereovision
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    Chapter 8 A Probabilistic Theory of Occupancy and Emptiness
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    Chapter 9 Texture Similarity Measure Using Kullback-Leibler Divergence between Gamma Distributions
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    Chapter 10 All the Images of an Outdoor Scene
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    Chapter 11 Recovery of Reflectances and Varying Illuminants from Multiple Views
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    Chapter 12 Composite Texture Descriptions
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    Chapter 13 Constructing Illumination Image Basis from Object Motion
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    Chapter 14 Diffuse-Specular Separation and Depth Recovery from Image Sequences
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    Chapter 15 Shape from Texture without Boundaries
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    Chapter 16 Statistical Modeling of Texture Sketch
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    Chapter 17 Classifying Images of Materials: Achieving Viewpoint and Illumination Independence
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    Chapter 18 Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry
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    Chapter 19 The Effect of Illuminant Rotation on Texture Filters: Lissajous’s Ellipses
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    Chapter 20 On Affine Invariant Clustering and Automatic Cast Listing in Movies
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    Chapter 21 Factorial Markov Random Fields
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    Chapter 22 Evaluation and Selection of Models for Motion Segmentation
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    Chapter 23 Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study
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    Chapter 24 DREAM 2 S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation
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    Chapter 25 Neuro-Fuzzy Shadow Filter
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    Chapter 26 Parsing Images into Region and Curve Processes
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    Chapter 27 Yet Another Survey on Image Segmentation: Region and Boundary Information Integration
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    Chapter 28 Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D
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    Chapter 29 Deformable Model with Non-euclidean Metrics
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    Chapter 30 Finding Deformable Shapes Using Loopy Belief Propagation
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    Chapter 31 Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
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    Chapter 32 Bayesian Estimation of Layers from Multiple Images
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    Chapter 33 A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
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    Chapter 34 Normalized Gradient Vector Diffusion and Image Segmentation
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    Chapter 35 Spectral Partitioning with Indefinite Kernels Using the Nyström Extension
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    Chapter 36 A Framework for High-Level Feedback to Adaptive, Per-Pixel, Mixture-of-Gaussian Background Models
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    Chapter 37 Multivariate Saddle Point Detection for Statistical Clustering
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    Chapter 38 Parametric Distributional Clustering for Image Segmentation
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    Chapter 39 Probabalistic Models and Informative Subspaces for Audiovisual Correspondence
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    Chapter 40 Volterra Filtering of Noisy Images of Curves
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    Chapter 41 Image Segmentation by Flexible Models Based on Robust Regularized Networks
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    Chapter 42 Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces
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    Chapter 43 On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
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    Chapter 44 Estimating Human Body Configurations Using Shape Context Matching
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    Chapter 45 Probabilistic Human Recognition from Video
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    Chapter 46 SoftPOSIT: Simultaneous Pose and Correspondence Determination
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    Chapter 47 A Pseudo-Metric for Weighted Point Sets
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    Chapter 48 Shock-Based Indexing into Large Shape Databases
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    Chapter 49 EigenSegments: A Spatio-Temporal Decomposition of an Ensemble of Images
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    Chapter 50 On the Representation and Matching of Qualitative Shape at Multiple Scales
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    Chapter 51 Combining Simple Discriminators for Object Discrimination
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    Chapter 52 Probabilistic Search for Object Segmentation and Recognition
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    Chapter 53 Real-Time Interactive Path Extraction with On-the-Fly Adaptation of the External Forces
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    Chapter 54 Matching and Embedding through Edit-Union of Trees
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    Chapter 55 A Comparison of Search Strategies for Geometric Branch and Bound Algorithms
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    Chapter 56 Face Recognition from Long-Term Observations
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    Chapter 57 Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction
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    Chapter 58 Minimal Surfaces for Stereo
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    Chapter 59 Finding the Largest Unambiguous Component of Stereo Matching
Attention for Chapter 35: Spectral Partitioning with Indefinite Kernels Using the Nyström Extension
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Chapter title
Spectral Partitioning with Indefinite Kernels Using the Nyström Extension
Chapter number 35
Book title
Computer Vision — ECCV 2002
Published by
Springer, Berlin, Heidelberg, May 2002
DOI 10.1007/3-540-47977-5_35
Book ISBNs
978-3-54-043746-8, 978-3-54-047977-2
Authors

Serge Belongie, Charless Fowlkes, Fan Chung, Jitendra Malik

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 11%
Portugal 1 2%
Malaysia 1 2%
Sweden 1 2%
Brazil 1 2%
China 1 2%
Canada 1 2%
Unknown 50 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 38%
Researcher 15 24%
Professor 5 8%
Student > Master 5 8%
Other 3 5%
Other 9 14%
Unknown 2 3%
Readers by discipline Count As %
Computer Science 33 52%
Engineering 10 16%
Mathematics 6 10%
Agricultural and Biological Sciences 4 6%
Environmental Science 1 2%
Other 4 6%
Unknown 5 8%