Scale-Space Theory in Computer Vision

Lindeberg, Tony

ISBN 10: 0792394186 / ISBN 13: 9780792394181

Published by Springer, 1993

About this Item

Image shows actual book for sale. Book Condition: Very Good; firm binding; contents very good. No Dust Jacket. Hard Cover Springer 1993 Computing Mathematics.

Seller Inventory # 110392

Bibliographic Details

• Title: Scale-Space Theory in Computer Vision
• Publisher: Springer
• Publication Date: 1993
• Language: English
• ISBN 10: 0792394186
• ISBN 13: 9780792394181
• Binding: Hardcover
• Condition: Very Good

About this title

Synopsis

The problem of scale pervades both the natural sciences and the vi­ sual arts. The earliest scientific discussions concentrate on visual per­ ception (much like today!) and occur in Euclid's (c. 300 B. C. ) Optics and Lucretius' (c. 100-55 B. C. ) On the Nature of the Universe. A very clear account in the spirit of modern "scale-space theory" is presented by Boscovitz (in 1758), with wide ranging applications to mathemat­ ics, physics and geography. Early applications occur in the cartographic problem of "generalization", the central idea being that a map in order to be useful has to be a "generalized" (coarse grained) representation of the actual terrain (Miller and Voskuil 1964). Broadening the scope asks for progressive summarizing. Very much the same problem occurs in the (realistic) artistic rendering of scenes. Artistic generalization has been analyzed in surprising detail by John Ruskin (in his Modern Painters), who even describes some of the more intricate generic "scale-spacesin­ gularities" in detail: Where the ancients considered only the merging of blobs under blurring, Ruskin discusses the case where a blob splits off another one when the resolution is decreased, a case that has given rise to confusion even in the modern literature.

Review

` This approach will certainly turn out to be part of the foundations of the theory and practice of machine vision ... the author has no doubt performed an excellent service to many in the field of both artificial and biological vision. '
Jan Koenderink