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Computer Vision - ECCV 2000

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Cover of 'Computer Vision - ECCV 2000'

Table of Contents

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    Book Overview
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    Chapter 1 Non-linear Bayesian Image Modelling
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    Chapter 2 Unsupervised Learning of Models for Recognition
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    Chapter 3 Learning over Multiple Temporal Scales in Image Databases
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    Chapter 4 Colour Image Retrieval and Object Recognition Using the Multimodal Neighbourhood Signature
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    Chapter 5 Approximate N-View Stereo
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    Chapter 6 A Minimal Set of Constraints for the Trifocal Tensor
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    Chapter 7 Intrinsic Images for Dense Stereo Matching with Occlusions
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    Chapter 8 Local Scale Selection for Gaussian Based Description Techniques
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    Chapter 9 Anti-Faces for Detection
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    Chapter 10 Combining Elastic and Statistical Models of Appearance Variation
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    Chapter 11 Object Recognition Using Coloured Receptive Fields
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    Chapter 12 Learning Similarity for Texture Image Retrieval
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    Chapter 13 Parametric View-Synthesis
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    Chapter 14 Least Committment Graph Matching by Evolutionary Optimisation
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    Chapter 15 Predicting Disparity Windows for Real-Time Stereo
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    Chapter 16 On the Estimation of the Fundamental Matrix: A Convex Approach to Constrained Least-Squares
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    Chapter 17 Velocity-Guided Tracking of Deformable Contours in Three Dimensional Space
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    Chapter 18 Model Based Pose Estimator Using Linear-Programming
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    Chapter 19 Measuring the Self-Consistency of Stereo Algorithms
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    Chapter 20 Log-Polar Stereo for Anthropomorphic Robots
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    Chapter 21 Contour-Based Correspondence for Stereo
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    Chapter 22 Color and Scale: The Spatial Structure of Color Images
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    Chapter 23 Constrained Dichromatic Colour Constancy
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    Chapter 24 Objective Colour from Multispectral Imaging
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    Chapter 25 Colour by Correlation in a Three-Dimensional Colour Space
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    Chapter 26 Improvements to Gamut Mapping Colour Constancy Algorithms
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    Chapter 27 Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns
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    Chapter 28 Adapting Spectral Scale for Shape from Texture
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    Chapter 29 Learning to Recognize 3D Objects with SNoW
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    Chapter 30 Region-Based Object Recognition Using Shape-from-Shading
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    Chapter 31 Recognizing Walking People
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    Chapter 32 A Probabilistic Sensor for the Perception and the Recognition of Activities
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    Chapter 33 Homography Tensors: On Algebraic Entities That Represent Three Views of Static or Moving Planar Points
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    Chapter 34 Plane + Parallax, Tensors and Factorization
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    Chapter 35 Factorization with Uncertainty
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    Chapter 36 Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications
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    Chapter 37 Diffeomorphic Matching Problems in One Dimension: Designing and Minimizing Matching Functionals
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    Chapter 38 Level Sets and Distance Functions
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    Chapter 39 Divergence-Based Medial Surfaces
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    Chapter 40 3D Reconstruction from Tangent-of-Sight Measurements of a Moving Object Seen from a Moving Camera
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    Chapter 41 A Six Point Solution for Structure and Motion
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    Chapter 42 Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal Tensors
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    Chapter 43 Characterizing Depth Distortion Due to Calibration Uncertainty
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    Chapter 44 On Calibration and Reconstruction from Planar Curves
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    Chapter 45 How Does CONDENSATION Behave with a Finite Number of Samples?
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    Chapter 46 On the Structure and Properties of the Quadrifocal Tensor
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    Chapter 47 Geotensity Constraint for 3D Surface Reconstruction under Multiple Light Sources
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    Chapter 48 Noise-Resistant Affine Skeletons of Planar Curves
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    Chapter 49 Shape and Radiance Estimation from the Information Divergence of Blurred Images
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    Chapter 50 Surface Matching with Large Deformations and Arbitrary Topology: A Geodesic Distance Evolution Scheme on a 3-Manifold
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    Chapter 51 Duals, Invariants, and the Recognition of Smooth Objects from Their Occluding Contour
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    Chapter 52 On Utilising Template and Feature-based Correspondence in Multi-view Appearance Models
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    Chapter 53 Wide Baseline Point Matching Using Affine Invariants Computed from Intensity Profiles
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    Chapter 54 Determining Correspondences for Statistical Models of Appearance
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    Chapter 55 Approximation and Processing of Intensity Images with Discontinuity-Preserving Adaptive Triangular Meshes
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    Chapter 56 Scale Dependent Differential Geometry for the Measurement of Center Line and Diameter in 3D Curvilinear Structures
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    Chapter 57 Fast Selective Detection of Rotational Symmetries Using Normalized Inhibition
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    Chapter 58 Multibody Structure and Motion: 3-D Reconstruction of Independently Moving Objects
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    Chapter 59 Integrating Local Affine into Global Projective Images in the Joint Image Space
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    Chapter 60 Ambiguous Configurations for 3-View Projective Reconstruction
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    Chapter 61 On the Reprojection of 3D and 2D Scenes without Explicit Model Selection
Overall attention for this book and its chapters
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Title
Computer Vision - ECCV 2000
Published by
Springer Berlin Heidelberg, June 2000
DOI 10.1007/3-540-45054-8
ISBNs
978-3-54-067685-0, 978-3-54-045054-2
Authors/Editors

David Vernon

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 3%
Switzerland 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 16%
Student > Master 4 13%
Researcher 3 9%
Student > Ph. D. Student 2 6%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 14 44%
Readers by discipline Count As %
Computer Science 11 34%
Engineering 5 16%
Agricultural and Biological Sciences 2 6%
Unknown 14 44%