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Scale-Space Theory in Computer Vision (Paperback, Softcover reprint of hardcover 1st ed. 1994) Loot Price: R4,482
Discovery Miles 44 820
Scale-Space Theory in Computer Vision (Paperback, Softcover reprint of hardcover 1st ed. 1994): Tony Lindeberg

Scale-Space Theory in Computer Vision (Paperback, Softcover reprint of hardcover 1st ed. 1994)

Tony Lindeberg

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

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Loot Price R4,482 Discovery Miles 44 820 | Repayment Terms: R420 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-Verlag New York
Country of origin: United States
Series: The Springer International Series in Engineering and Computer Science, 256
Release date: December 2010
First published: 1994
Authors: Tony Lindeberg
Dimensions: 235 x 155 x 28mm (L x W x T)
Format: Paperback
Pages: 424
Edition: Softcover reprint of hardcover 1st ed. 1994
ISBN-13: 978-1-4419-5139-7
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 1-4419-5139-3
Barcode: 9781441951397

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