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Scale-Space Theory in Computer Vision - 9781441951397

Description: Scale-Space Theory in Computer Vision Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Tony Lindeberg Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781441951397, 978-1441951397 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. [tel] 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.

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Location: Aldershot

End Time: 2024-11-26T09:00:57.000Z

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Scale-Space Theory in Computer Vision - 9781441951397

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Book Title: Scale-Space Theory in Computer Vision

Number of Pages: 424 Pages

Language: English

Publication Name: Scale-Space Theory in Computer Vision

Publisher: Springer-Verlag New York Inc.

Publication Year: 2010

Subject: Engineering & Technology, Computer Science

Item Height: 235 mm

Item Weight: 676 g

Type: Textbook

Author: Tony Lindeberg

Series: The Springer International Series in Engineering and Computer Science

Item Width: 155 mm

Format: Paperback

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