Geometry-Driven Diffusion in Computer Vision

Geometry-Driven Diffusion in Computer Vision

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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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Product details

  • Hardback | 442 pages
  • 162.6 x 233.7 x 33mm | 748.44g
  • Dordrecht, Netherlands
  • English
  • 1994 ed.
  • XXII, 442 p.
  • 0792330870
  • 9780792330875

Table of contents

Preface. Foreword. 1. Linear Scale-Space I: Basic Theory; T. Lindeberg, B.M. ter Haar Romeny. 2. Linear Scale-Space II: Early Visual Operations; T. Lindeberg, B.M. ter Haar Romeny. 3. Anisotropic Diffusion; P. Perona, T. Shiota, J. Malik. 4. Vector-Valued Diffusion; R. Whitaker, G. Gerig. 5. Bayesian Rationale for the Variational Formulation; D. Mumford. 6. Variational Problems with a Free Discontinuity Set; A. Leaci, S. Solimini. 7. Minimization of Energy Functional with Curve-Represented Edges; N. Nordstroem. 8. Approximation, Computation, and Distortion in the Variational Formulation; T. Richardson, S. Mitter. 9. Coupled Geometry-Driven Diffusion Equations for Low-Level Vision; M. Proesmans, E. Pauwels, L. van Gool. 10. Morphological Approach to Multiscale Analysis: From Principles to Equations; l. Alvarez, J.-M. Morel. 11. Differential Invariant Signatures and Flows in Computer Vision: a Symmetry Group Approach; P. Olver, G. Sapiro, A. Tannenbaum. 12. On Optimal Control Methods in Computer Vision and Image Processing; B. Kimia, A. Tannenbaum, S. Zucker. 13. Nonlinear Scale-Space; L. Florack, A. Salden, B. ter Haar Romeny, J. Koenderink, M. Viergever. 14. A Differential Geometric Approach to Anisotropic Diffusion; D. Eberly. 15. Numerical Analysis of Geometry-Driven Diffusion Equations; W. Niessen, B.M. ter Haar Romeny, M. Viergever. Bibliography. Index.
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