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Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision

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Scale-Space Theory in Computer Vision (Hardcover, 1994 ed.) Loot Price: R5,020
Discovery Miles 50 200
Scale-Space Theory in Computer Vision (Hardcover, 1994 ed.): Tony Lindeberg

Scale-Space Theory in Computer Vision (Hardcover, 1994 ed.)

Tony Lindeberg

Series: The Springer International Series in Engineering and Computer Science, 256

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Loot Price R5,020 Discovery Miles 50 200 | Repayment Terms: R470 pm x 12*

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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."

General

Imprint: Springer
Country of origin: Netherlands
Series: The Springer International Series in Engineering and Computer Science, 256
Release date: December 1993
First published: 1994
Authors: Tony Lindeberg
Dimensions: 234 x 156 x 25mm (L x W x T)
Format: Hardcover
Pages: 424
Edition: 1994 ed.
ISBN-13: 978-0-7923-9418-1
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 0-7923-9418-6
Barcode: 9780792394181

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