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Scale-Space Theory in Computer Vision - The Springer International Series in Engineering and Computer Science 256 (Hardback)
  • Scale-Space Theory in Computer Vision - The Springer International Series in Engineering and Computer Science 256 (Hardback)
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Scale-Space Theory in Computer Vision - The Springer International Series in Engineering and Computer Science 256 (Hardback)

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£109.99
Hardback 424 Pages / Published: 31/12/1993
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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-space sin- 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.

Publisher: Springer
ISBN: 9780792394181
Number of pages: 424
Weight: 1760 g
Dimensions: 234 x 156 x 25 mm
Edition: 1994 ed.


MEDIA 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

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