Object identification and orientation determination in 3-space with no point correspondence information

The problem of identification of rigid planar-patch objects from images projected from random orientations in 3-D space is approached using tensor representation of image measures. This allows standardization of object orientation without knowledge of object identity, and hence permits a simple one-step comparison operation between the standardized unknown and each library image. Geometric transformations due to oblique viewing angles, as well as translation, rotation, and scale change are handled. Experimental results using a library of camera-acquired images demonstrate correct performance of the algorithm.