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Statistics and Analysis of Shapes

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Cover of 'Statistics and Analysis of Shapes'

Table of Contents

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    Book Overview
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    Chapter 1 Medial Axis Computation and Evolution
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    Chapter 2 Shape Variation of Medial Axis Representations via Principal Geodesic Analysis on Symmetric Spaces
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    Chapter 3 2D Shape Modeling using Skeletal Graphs in a Morse Theoretic Framework
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    Chapter 4 Matching with Shape Contexts
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    Chapter 5 Shape Recognition Based on an a Contrario Methodology
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    Chapter 6 Integral Invariants and Shape Matching
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    Chapter 7 On the Representation of Shapes Using Implicit Functions
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    Chapter 8 Computing with Point Cloud Data
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    Chapter 9 Determining Intrinsic Dimension and Entropy of High-Dimensional Shape Spaces
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    Chapter 10 Object-Image Metrics for Generalized Weak Perspective Projection
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    Chapter 11 Wulff Shapes at Zero Temperature for Some Models Used in Image Processing
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    Chapter 12 Curve Shortening and Interacting Particle Systems
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    Chapter 13 Riemannian Structures on Shape Spaces: A Framework for Statistical Inferences
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    Chapter 14 Modeling Planar Shape Variation via Hamiltonian Flows of Curves
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    Chapter 15 Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics
Attention for Chapter 9: Determining Intrinsic Dimension and Entropy of High-Dimensional Shape Spaces
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