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
Q Analytic Photogrammetry
15 other sections not shown
3D point algorithm Analysis and Machine angle approximate assume binary relation boundary camera reference frame components Computer Vision constraint coordinate system corresponding cross-ratio defined derivative determine distance edge equation estimate exterior orientation function Gaussian geometric given graph Haralick homomorphism IEEE IEEE Transactions image plane image points Image Processing inference intensity intersection iteration label least-squares lens light line segment linear Machine Intelligence mapping matching measure MF-estimator motion node nonlinear normal object observed obtain octree optic flow outliers pair parameters Pattern Analysis Pattern Recognition perspective projection Photogrammetry pixel polarized position problem procedure projection plane proposition quaternion reference frame relation relative orientation represent representation robust rotation matrix scene sequence shape solution solve spatial stereo structure Suppose surface normal surface patch techniques three-dimensional Transactions on Pattern transformation translation tree search two-dimensional unit unknown variance vector velocity window