This book presents recent advances in the field of shape analysis. Written by experts in the fields of continuous-scale shape analysis, discrete shape analysis and sparsity, and numerical computing who hail from different communities, it provides a unique view of the topic from a broad range of perspectives.

Part I Numerical Computing for Shape Analysis: 1 Ornament Analysis with the Help of Screened Poisson Shape Fields: S. Tari.- 2 A Comparison of Non-Lambertian Models for the Shape-from-Shading Problem: S. Tozza and M. Falcone.- 3 Direct Variational Perspective Shape from Shading with Cartesian Depth Parameterisation Y. Chul Ju et al.- 4 Amoeba Techniques for Shape and Texture Analysis: M. Welk.- 5 Increasing the Power of Shape Descriptor Based Object Analysis Techniques: J. Zuníc et al.- 6 Shape Distances for Binary Image Segmentation F.R. Schmidt et al.- 7 Segmentation in Point Clouds from RGB-D using Spectral Graph Reduction: M. Keuper and Th. Brox.- Part II Sparse Data Representation and Machine Learning for Shape Analysis: 8 Shape Compaction: H. Li and H. Zhang.- 9 Homological Shape Analysis through Discrete Morse Theory: L. de Floriani et al.- 10 Sparse Modeling of Intrinsic Correspondences: J. Pokrass et al.- 11 Applying Random Forests to the Problem of Dense Non-Rigid Shape Correspondence: M. Vestner et al.- 12 Accelerating Deformable Part Models with Branch-and-Bound: I. Kokkinos.- Part III Deformable Shape Modeling: 13 Non-Rigid Shape Correspondence in the Spectral Domain: A. Dubrovina.- 14 The Perspective Face Shape Ambiguity: W.A.P. Smith.- 15 On Shape Recognition and Language: P. Maragos.- 16 Tongue Mesh Extraction from 3D MRI Data of the Human Vocal Tract: A. Hewer et al.