000			01584nam a2200205 a 4500
020			_a0131911937
020			_a9788120323728
020			_a8120323726
020			_a9788129700476
082			_a006.37 _bFOR
100			_aForsyth, David A.
245			_aComputer Vision : A Modern Approach
260			_aNew Delhi : _bPrentice-Hall of India, _c2003
300			_axxv, 693 p.
500			_aIncludes index
505			_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.
650			_aComputer vision.
700			_aPonce, Jean
942			_cBK
999			_c13287 _d13287