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OverviewSignal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes within computer vision. These partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation. Signal Processing for Computer Vision is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing. Full Product DetailsAuthor: Gösta H. Granlund , Hans KnutssonPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of hardcover 1st ed. 1995 Weight: 0.767kg ISBN: 9781441951519ISBN 10: 1441951512 Pages: 437 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 and Overview.- 2 Biological Vision.- 3 Low Level Operations.- 4 Fourier Transforms.- 5 Kernel Optimization.- 6 Orientation and Velocity.- 7 Local Phase Estimation.- 8 Local Frequency.- 9 Representation and Averaging.- 10 Adaptive Filtering.- 11 Vector and Tensor Field Filtering.- 12 Classification and Response Generation.- 13 Texture Analysis.- References.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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