Computer and robot vision, Volume 2
This two-volume set is an authoritative, comprehensive, modern work on computer vision that covers all of the different areas of vision with a balance and unified approach. Volume II covers the higher level techniques of illumination, perspective projection, analytical photogrammetry, motion, image matching, consistent labeling, model matching, and knowledge based vision systems.Both volumes of Computer and Robot Vision address the growing and rapidly evolving area of computer vision with depth and breadth and explore details and specific algorithms not available in most competing texts.
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Perspective Projective Geometry
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algorithm Analysis and Machine angle assume binary relation camera components Computer Vision constraint coordinates corresponding cross-ratio curve deﬁned derived determined edge equation estimate ﬁeld ﬁnd ﬁrst ﬁve ﬁxed function Gaussian geometric given graph Graphics Haralick homomorphism IEEE Transactions image plane image points Image Processing intensity intersection iteration label least-squares lens light line segment linear Machine Intelligence mapping matching matrix measure MF-estimator motion node normal object observed obtain octree Optic Flow orientation outliers pair parameters pattem Pattern Analysis Pattern Recognition perspective projection Photogrammetry pixel planar polarized position problem procedure projection plane proposition quantized reference frame reﬂectance relation represent representation rotation rotation matrix scene sequence shape solid angle solution solve spatial speciﬁc stereo structure surface normal surface patch techniques three-dimensional Transactions on Pattern transformation translation tree search tuple two-dimensional unit variance vector velocity window