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BMVC91

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Cover of 'BMVC91'

Table of Contents

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    Book Overview
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    Chapter 1 Image Motion Analysis Made Simple and Fast, One Component at a Time
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    Chapter 2 Visual Modeling
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    Chapter 3 Distributed Dynamic Processing for Edge Detection
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    Chapter 4 Boundary Detection Using Bayesian Nets
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    Chapter 5 Parallel Implementation of Lagrangian Dynamics for real-time snakes
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    Chapter 6 Supervised Segmentation Using a Multiresolution Data Representation
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    Chapter 7 3D Grouping by Viewpoint Consistency Ascent
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    Chapter 8 A Trainable Method of Parametric Shape Description
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    Chapter 9 Using Projective Invariants for Constant Time Library Indexing in Model Based Vision
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    Chapter 10 Invariants of a Pair of Conics Revisited
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    Chapter 11 A Modal Approach to Feature-based Correspondence
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    Chapter 12 A method of obtaining the relative positions of 4 points from 3 perspective projections
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    Chapter 13 Properties of Local Geometric Constraints
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    Chapter 14 Texture Boundary Detection — A Structural Approach
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    Chapter 15 The Inference of Structure in Images using Multi-local Quadrature Filters
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    Chapter 16 Low-level Grouping of Straight Line Segments
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    Chapter 17 Connective Hough Transform
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    Chapter 18 Ellipse Detection and Matching with Uncertainty
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    Chapter 19 Cooperating motion processes
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    Chapter 20 Tracking Curved Objects by Perspective Inversion
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    Chapter 21 Optimal Surface Fusion
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    Chapter 22 Recursive Updating of Planar Motion
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    Chapter 23 A Fractal Shape Signature
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    Chapter 24 Locating Overlapping Flexible Shapes Using Geometrical Constraints
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    Chapter 25 Gaze Control for a Two-Eyed Robot Head
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    Chapter 26 Visual Evidence Accumulation in Radiograph Inspection
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    Chapter 27 A New Approach to Active Illumination
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    Chapter 28 A Comparative Analysis of Algorithms for Determining the Peak Position of a Stripe to Sub-pixel Accuracy
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    Chapter 29 Synthetic Images of Faces — An Approach to Model-Based Face Recognition
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    Chapter 30 Finding Image Features Using Deformable Templates and Detailed Prior Statistical Knowledge
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    Chapter 31 Relational Model Construction and 3D Object Recognition from Single 2D Monochromatic Image
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    Chapter 32 Recognising Cortical Sulci and Gyri in MR Images
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    Chapter 33 Classification of Breast Tissue by Texture Analysis
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    Chapter 34 Model-Based Image Interpretation Using Genetic Algorithms
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    Chapter 35 Automated Analysis of Retinal Images
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    Chapter 36 Segmentation of MR Images Using Neural Nets
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    Chapter 37 Detecting and Classifying Intruders in Image Sequences
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    Chapter 38 Structure from Constrained Motion Using Point Correspondences
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    Chapter 39 Model-based Tracking
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    Chapter 40 Local Method for Curved Edges and Corners
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    Chapter 41 The Kinematics and Eye Movements for a Two-Eyed Robot Head
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    Chapter 42 Colour and Texture Analysis for Automated Sorting of Eviscera
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    Chapter 43 Image Coding Based on Contour Models
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    Chapter 44 An Automated Approach to Stereo Matching Seasat Imagery
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    Chapter 45 Data Fusion using an MLP
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    Chapter 46 Passive Estimation of Range to Objects from Image Sequences
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    Chapter 47 Imaging Polarimetry for Industrial Inspection
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    Chapter 48 Computing with Uncertainty: Intervals versus Probabilities
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    Chapter 49 Recognizing Parameterized Models Using 3D Edges
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    Chapter 50 Optic Disk Boundary Detection
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    Chapter 51 Computation of Smoothed Local Symmetries on a MIMD Architecture
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    Chapter 52 Parameterising Images for Recognition and Reconstruction
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    Chapter 53 Kalman Filters in Constrained Model Based Tracking
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    Chapter 54 A Novel Approach to Motion Segmentation
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    Chapter 55 An Efficient and Robust Local Boundary Operator
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    Chapter 56 The Active Stereo Probe: Dynamic Video Feedback
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    Chapter 57 Design of an Anthropomorphic Robot Head
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    Chapter 58 A monocular ground plane estimation system
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    Chapter 59 Recognition with Second-Order Topographic Surface Features
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    Chapter 60 Heuristically Guided Polygon Finding
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    Chapter 61 Amplification of Textural Differences
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    Chapter 62 Edge Labelling by Fusion of Intensity and Range Data
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Title
BMVC91
Published by
Springer London, December 2012
DOI 10.1007/978-1-4471-1921-0
ISBNs
978-3-54-019715-7, 978-1-4471-1921-0
Editors

Mowforth, Peter

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