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Computer Vision — ECCV 2000 : 6th European Conference on Computer Vision Dublin, Ireland, June 26–July 1, 2000 Proceedings, Part II

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Cover of 'Computer Vision — ECCV 2000 : 6th European Conference on Computer Vision Dublin, Ireland, June 26–July 1, 2000 Proceedings, Part II'

Table of Contents

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    Book Overview
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    Chapter 1 Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
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    Chapter 2 Real-Time Tracking of Multiple Articulated Structures in Multiple Views
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    Chapter 3 Pedestrian Detection from a Moving Vehicle
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    Chapter 4 Vision-Based Guidance and Control of Robots in Projective Space
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    Chapter 5 A General Method for Unsupervised Segmentation of Images Using a Multiscale Approach
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    Chapter 6 Image Segmentation by Nonparametric Clustering Based on the Kolmogorov-Smirnov Distance
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    Chapter 7 Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Functions
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    Chapter 8 Bootstrap Initialization of Nonparametric Texture Models for Tracking
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    Chapter 9 Quasi-Random Sampling for Condensation
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    Chapter 10 Tracking Discontinuous Motion Using Bayesian Inference
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    Chapter 11 Direction Control for an Active Docking Behaviour Based on the Rotational Component of Log-Polar Optic Flow
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    Chapter 12 The Construction of 3 Dimensional Models Using an Active Computer Vision System
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    Chapter 13 Significantly Different Textures: A Computational Model of Pre-attentive Texture Segmentation
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    Chapter 14 Calibrating Parameters of Cost Functionals
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    Chapter 15 Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
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    Chapter 16 Level Lines as Global Minimizers of Energy Functionals in Image Segmentation
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    Chapter 17 A Probabilistic Interpretation of the Saliency Network
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    Chapter 18 Layer Extraction with a Bayesian Model of Shapes
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    Chapter 19 Model-Based Initialisation for Segmentation
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    Chapter 20 Statistical Foreground Modelling for Object Localisation
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    Chapter 21 Computer Vision — ECCV 2000
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    Chapter 22 A Probabilistic Background Model for Tracking
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    Chapter 23 On the Performance Characterisation of Image Segmentation Algorithms: A Case Study
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    Chapter 24 Statistical Significance as an Aid to System Performance Evaluation
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    Chapter 25 New Algorithms for Controlling Active Contours Shape and Topology
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    Chapter 26 Motion Segmentation by Tracking Edge Information over Multiple Frames
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    Chapter 27 Data-Driven Extraction of Curved Intersection Lanemarks from Road Traffic Image Sequences
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    Chapter 28 Tracking and Characterization of Highly Deformable Cloud Structures
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    Chapter 29 A Unifying Theory for Central Panoramic Systems and Practical Implications
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    Chapter 30 Binocular Self-Alignment and Calibration from Planar Scenes
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    Chapter 31 The Rôle of Self-Calibration in Euclidean Reconstruction from Two Rotating and Zooming Cameras
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    Chapter 32 Hand-Eye Calibration from Image Derivatives
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    Chapter 33 Multimodal Elastic Matching of Brain Images
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    Chapter 34 A Physically-Based Statistical Deformable Model for Brain Image Analysis
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    Chapter 35 Minimal Paths in 3D Images and Application to Virtual Endoscopy
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    Chapter 36 Kruppa Equation Revisited: Its Renormalization and Degeneracy
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    Chapter 37 Registration with a Moving Zoom Lens Camera for Augmented Reality Applications
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    Chapter 38 Calibration of a Moving Camera Using a Planar Pattern: Optimal Computation, Reliability Evaluation, and Stabilization by Model Selection
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    Chapter 39 Multi-view Constraints between Collineations: Application to Self-Calibration from Unknown Planar Structures
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    Chapter 40 Stereo Autocalibration from One Plane
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    Chapter 41 Can We Calibrate a Camera Using an Image of a Flat,Textureless Lambertian Surface?
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    Chapter 42 Underwater Camera Calibration
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    Chapter 43 On Weighting and Choosing Constraints for Optimally Reconstructing the Geometry of Image Triplets
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    Chapter 44 Computation of the Mid-Sagittal Plane in 3D Images of the Brain
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    Chapter 45 Stochastic Tracking of 3D Human Figures Using 2D Image Motion
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    Chapter 46 Monocular Perception of Biological Motion - Clutter and Partial Occlusion
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    Chapter 47 3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation
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    Chapter 48 Non-parametric Model for Background Subtraction
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    Chapter 49 Qualitative Spatiotemporal Analysis Using an Oriented Energy Representation
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    Chapter 50 Regularised Range Flow
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    Chapter 51 Visual Encoding of Tilt from Optic Flow: Psychophysics and Computational Modelling
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    Chapter 52 IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus
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    Chapter 53 Egomotion Estimation Using Quadruples of Collinear Image Points
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    Chapter 54 Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction
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    Chapter 55 Camera Pose Estimation and Reconstruction from Image Profiles under Circular Motion
Attention for Chapter 8: Bootstrap Initialization of Nonparametric Texture Models for Tracking
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