Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 256)
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About this book
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.
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Table of contents (15 chapters)
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Front Matter
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Introduction and overview
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The scale-space primal sketch: Theory
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Front Matter
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The scale-space primal sketch: Applications
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Front Matter
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Scale selection and shape computation in a visual front-end
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Front Matter
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Reviews
` 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
Jan Koenderink
Authors and Affiliations
Bibliographic Information
Book Title: Scale-Space Theory in Computer Vision
Authors: Tony Lindeberg
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4757-6465-9
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1994
Hardcover ISBN: 978-0-7923-9418-1Published: 31 December 1993
Softcover ISBN: 978-1-4419-5139-7Published: 02 December 2010
eBook ISBN: 978-1-4757-6465-9Published: 09 March 2013
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XII, 424
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision, Signal, Image and Speech Processing