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Scale-Space Theory in Computer Vision

Scale-Space Theory in Computer Vision

by Tony Lindeberg

Publisher Springer Science & Business Media
Published Date 1993-12-31
Page Count 424
Categories Computers / Computer Vision & Pattern Recognition, Computers / Computer Graphics, Technology & Engineering / Electronics / General, Computers / Software Development & Engineering / General, Computers / Optical Data Processing, Technology & Engineering / Imaging Systems
Language EN
Average Rating N/A (based on N/A ratings)
Maturity Rating No Mature Content Detected
ISBN 0792394186
Book Cover 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.
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