Computational Imaging and Vision

By: Bart M. Haar Romeny (Editor)

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Hardcover | 30 September 1994

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468 Pages

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Scale is a concept the antiquity of which can hardly be traced. Certainly the familiar phenomena that accompany sc ale changes in optical patterns are mentioned in the earliest written records. The most obvious topological changes such as the creation or annihilation of details have been a topic to philosophers, artists and later scientists. This appears to of fascination be the case for all cultures from which extensive written records exist. For th instance, chinese 17 c artist manuals remark that "distant faces have no eyes" . The merging of details is also obvious to many authors, e. g. , Lucretius mentions the fact that distant islands look like a single one. The one topo logical event that is (to the best of my knowledge) mentioned only late (by th John Ruskin in his "Elements of drawing" of the mid 19 c) is the splitting of a blob on blurring. The change of images on a gradual increase of resolu tion has been a recurring theme in the arts (e. g. , the poetic description of the distant armada in Calderon's The Constant Prince) and this "mystery" (as Ruskin calls it) is constantly exploited by painters.

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Preface
Foreword
Contributors
Linear Scale-Space I: Basic Theory	p. 1
Linear Scale-Space II: Early Visual Operations	p. 39
Anisotropic Diffusion	p. 73
Vector-Valued Diffusion	p. 93
Bayesian Rationale for the Variational Formulation	p. 135
Variational Problems with a Free Discontinuity Set	p. 147
Minimization of Energy Functional with Curve-Represented Edges	p. 155
Approximation, Computation, and Distortion in the Variational Formulation	p. 169
Coupled Geometry-Driven Diffusion Equations for Low-Level Vision	p. 191
Morphological Approach to Multiscale Analysis: From Principles to Equations	p. 229
Differential Invariant Signatures and Flows in Computer Vision: A Symmetry Group Approach	p. 255
On Optimal Control Methods in Computer Vision and Image Processing	p. 307
Nonlinear Scale-Space	p. 339
A Differential Geometric Approach to Anisotropic Diffusion	p. 371
Numerical Analysis of Geometry-Driven Diffusion Equations	p. 393
Bibliography	p. 411
Index	p. 429
Table of Contents provided by Blackwell. All Rights Reserved.

Computational Imaging and Vision

At a Glance

Hardcover

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