Title :
Surface orientation and curvature from differential texture distortion
Author_Institution :
Lab. of Comput. Vision & Active Perception, R. Inst. of Technol., Stockholm, Sweden
Abstract :
A unified differential geometric framework for estimation of local surface shape and orientation from projective texture distortion is proposed, based on a differential version of the texture stationarity assumption introduced by Malik and Rosenholtz. This framework allows the information content of the gradient of any texture descriptor defined in a local coordinate frame to be characterized in a very compact form. The analysis encompasses both full affine texture descriptors and the classical “texture gradients”. For estimation of local surface orientation and curvature from uncertain observations of affine texture distortion, the proposed framework allows the dimensionality of the search space to be reduced from five to one
Keywords :
computer vision; motion estimation; curvature; differential texture distortion; full affine texture descriptors; local coordinate frame; local surface shape estimation; projective texture distortion; surface orientation; texture descriptor; texture gradients; texture stationarity assumption; unified differential geometric framework; Computer vision; Geometry; Image analysis; Image texture analysis; Laboratories; Parameter estimation; Postal services; Shape; Surface texture; Surface treatment;
Conference_Titel :
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7042-8
DOI :
10.1109/ICCV.1995.466865