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003			OSt
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008			241001b |||||||| |||| 00| 0 eng d
020			_a0131911937
020			_a8120323726
020			_a9788129700476
020			_a9788120323728
040			_aDLC _bDLC _cDLC
082			_223 _a006.37
100			_aForsyth, David A _920308
245			_aComputer Vision : A Modern Approach _cDavid A. Forsyth; Jean Ponce
260			_aNew Delhi : _bPrentice-Hall of India, _c2003
300			_axxv, 693 p.;
500			_aPt. 1. Image formation and image models -- Cameras -- Geometric camera models -- Geometric camera calibration -- Radiometry: measuring light -- Sources, shadows and shading -- Color -- pt. 2. Early vision: just one image -- Linear filters -- Edge detection -- Texture -- pt. 3. Early vision: multiple images -- The geometry of multiple views -- Stereopsis -- Affine structure from motion -- Projective structure from motion -- pt. 4. Mid-level vision -- Segmentation by clustering -- Segmentation by fitting a model -- Segmentation and fitting using probabilistic methods -- Tracking with linear dynamic models -- pt. 5. High-level vision: geometric methods -- Model-based vision -- Smooth surfaces and their outlines -- Aspect graphs -- Range data -- pt. 6. High-level vision: probabilistic and inferential methods -- Finding templates using classifiers -- Recognition by relations between templates -- Geometric templates from spatial relations -- pt. 7. Applications -- Application: finding in digital libraries -- Application: image-based rendering.
942			_2ddc _cBK _n0
999			_c31259 _d31259