株式会社極東書店トップ商品一覧Scale-Space Theory in Computer Vision. 1st ed. Softcover of orig. ed. 1994

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Scale-Space Theory in Computer Vision. 1st ed. Softcover of orig. ed. 1994

Scale-Space Theory in Computer Vision. 1st ed. Softcover of orig. ed. 1994

・ISBN 978-1-4419-5139-7 paper EUR 169.99

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お気に入り
著者・編者Lindeberg, Tony,
シリーズ (The Springer International Series in Engineering and Computer Science)
出版社 (Springer-Verlag New York Inc., US)
出版年月2010
ページ数424 pp.
言語ENG
ニュース番号<A05-27560>

解説

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.