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OverviewDespite the fact that images constitute the main objects in computer vision and image analysis, there is remarkably 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-emphasised, and robustness with respect to noise is manifest. From the foreword by Jan Koenderink: 'It is my hope that the book will find a wide audience, including physicists - who still are largely unaware of the general importance and power of scale space theory, mathematicians - who will find in it a principled and formally tight exposition of a topic awaiting further development, and computer scientists - who will find here a unified and conceptually well founded framework for many apparently unrelated and largely historically motivated methods they already know and love. The book is suited for self-study and graduate courses, the carefully formulated exercises are designed to get to grips with the subject matter and prepare the reader for original research.' Full Product DetailsAuthor: Luc FlorackPublisher: Springer Imprint: Springer Edition: Softcover reprint of the original 1st ed. 1997 Volume: 10 Dimensions: Width: 15.50cm , Height: 1.50cm , Length: 23.50cm Weight: 0.454kg ISBN: 9789048149377ISBN 10: 9048149371 Pages: 271 Publication Date: 07 December 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of stock  The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. 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 |
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