Computer and Robot Vision, Volume 2This 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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3D line 3D point algorithm Analysis and Machine angle b₁ b₂ binary relation boundary camera components Computer Vision consistent-labeling constraint coordinates corresponding cross-ratio curve defined depth error determined edge equation estimation Figure function Gaussian given graph Haralick homomorphism IEEE IEEE Transactions image plane image points Image Processing inference intersection iteration knowledge source label least-squares line segment linear Machine Intelligence mapping matching matrix measure MF-estimator N-tuple node normal observed octree optic flow orientation outliers P₁ pair parameters Pattern Analysis Pattern Recognition perspective projection Photogrammetry pixel planar position probability problem procedure proposition reference frame relation represent representation robust rotation rotation matrix scene shape solution solve spatial stereo structure Suppose surface normal techniques Transactions on Pattern transformation translation tree search tuple two-dimensional u₁ unit unknown vector velocity view class vision systems