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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Scale-Space Theory in Computer Vision

Scale-Space Theory in Computer Vision

Lindeberg, Tony

Hardcover

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

General ComputersProgramming

ISBN10: 0792394186
ISBN13: 9780792394181
Publisher: Springer Nature
Published: Dec 31 1993
Pages: 424
Weight: 1.81
Height: 1.17 Width: 6.50 Depth: 9.56
Language: English
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.

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