Scale-Space Theory in Computer Vision

Scale-Space Theory in Computer Vision - The Springer International Series in Engineering and Computer Science

1994

Hardback (31 Dec 1993)

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Publisher's Synopsis

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.

Book information

ISBN: 9780792394181
Publisher: Springer US
Imprint: Springer
Pub date:
Edition: 1994
DEWEY: 006.37
DEWEY edition: 20
Language: English
Number of pages: 423
Weight: 1760g
Height: 235mm
Width: 155mm
Spine width: 25mm