000			04352nam a2200553 i 4500
001			6267272
003			IEEE
005			20220712204616.0
006			m o d
007			cr |n|||||||||
008			151223s1981 maua ob 001 eng d
010			_z 81013751 (print)
020			_z9780262571852 _qprint
020			_a0262070839
020			_a9780262256278 _qelectronic
035			_a(CaBNVSL)mat06267272
035			_a(IDAMS)0b000064818b4240
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aQP487 _b.G74 1981eb
060		0	_aWW 103 G865f
082	0	0	_a152.1/4/02854 _219
100	1		_aGrimson, William Eric Leifur, _eauthor. _921863
245	1	0	_aFrom images to surfaces : _ba computational study of the human early visual system / _cWilliam Eric Leifur Grimson.
264		1	_aCambridge, Massachusetts : _bMIT Press, _cc1981.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1981]
300			_a1 PDF (274 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aArtificial intelligence series
502			_aBased on the author's thesis (Ph.D.--Massachusetts Institute of Technology)
504			_aIncludes bibliographical references (p. [247]-267) and indexes. .
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aThe projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/23/2015.
650		0	_aBinocular vision _xData processing. _921864
650		0	_aComputer graphics. _94088
650		2	_aVision _xPhysiology. _921865
650		2	_aVisual perception _xPhysiology. _921866
655		0	_aElectronic books. _93294
710	2		_aIEEE Xplore (Online Service), _edistributor. _921867
710	2		_aMIT Press, _epublisher. _921868
776	0	8	_iPrint version _z9780262571852
830		0	_aArtificial intelligence series _921607
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267272
942			_cEBK
999			_c72930 _d72930