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OverviewDespite the fact that images constitute the main objects in computer vision and image analysis, there is little concern about their actual definition. In this book, a complete account of image structure is proposed in terms of rigorously defined machine concepts, using basic tools from algebra, analysis, and differential geometry. Machine technicalities such as discretisation and quantisation details are de-emphasized, and robustness with respect to noise is manifest. Full Product DetailsAuthor: Luc FlorackPublisher: Springer Imprint: Springer Edition: 1997 ed. Volume: 10 Dimensions: Width: 15.60cm , Height: 1.70cm , Length: 23.40cm Weight: 1.300kg ISBN: 9780792348085ISBN 10: 0792348087 Pages: 271 Publication Date: 30 September 1997 Audience: College/higher education , Professional and scholarly , General/trade , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of print, replaced by POD ![]() We will order this item for you from a manufatured on demand supplier. Table of Contents1 Introduction.- 2 Basic Concepts.- 3 Local Samples and Images.- 4 The Scale-Space Paradigm.- 5 Local Image Structure.- 6 Multiscale Optic Flow.- A Geometry and Tensor Calculus.- A.1 Literature.- A.2 Geometric Concepts.- A.2.1 Preliminaries.- A.2.2 Vectors.- A.2.3 Covectors.- A.2.4 Dual Bases.- A.2.5 Riemannian Metric.- A.2.6 Tensors.- A.2.7 Push Forward, Pull Back, Derivative Map.- C Proof of Proposition 5.4.- D Proof of Proposition 5.5.- Solutions to Problems.- Symbols.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |