Image Understanding

Advances in Computational Vision, Volume Three

Inbunden, Engelska, 1990

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The volumes in this series contain studies in computational vision or "image understanding", and explain the computations that underlie the extraction and use of visual information by both biological and artificial systems. Reprints of seminal studies are included along with the original articles.

Produktinformation

Utgivningsdatum1990-05-01
FormatInbunden
SpråkEngelska
Antal sidor200
FörlagIntellect
ISBN9780893915476

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Systemvetenskap och AI inom Data och it

Introduction vShimon UllmanChapter 1Computational Vision and Regularization Theory 1Tomasa Poggio, Vincent Torre, and Christo! KochChapter 2Boundary Detection by Minimizing Functionals, I 19D. Mumford and J. ShahChapter 3A Probabilistic Approach to Computational Vision 44Jose L. MarroquinChapter 4Divide-and-Conquer Techniques for Detecting and DescribingGlobal Features in Images 80Azriel RosenfeldChapter 5Reconstruction of Multidimensional Signals from Zero Crossings 92Susan R. Curtis and Alan V. OppenheimChapter 6Image Representation by Reference-Signal Crossings 111Y.Y Zeevi and S. Shamai (Shitz)Chapter 7Accurate Detection of Edges with LargeLaplacian-of-Gaussian Masks 138Gerard Medioni, Jer-Sen Chen, and Fatih UlupinarChapter 8Rigidity and Smoothness of Motion: Justifying the SmoothnessAssumption in Motion Measurement 163A. Yuille and S. UllmanChapter 9Cyclotorsion , Conformal Invariance, and Induced Effects in StereoscopicVision 185John Parrill, John E.W. Mayhew, and John P. FrisbyChapter 10Disparity Gradient, Lipschitz Continuity, andComputing Binocular Correspondences 197Stephen B. Pollard, John Porritt, John E.W. Mayhew,and John P. FrisbyChapter 11Color Constancy: A Method for RecoveringSurface Spectral Reflectance 215Laurence T. Maloney and Brian A. WandellAuthor Index 225Subject Index 231