Information theoretic approach to model-based 3D object recognition using orthogonal transforms
Inderpreet S. Khurana, Richard F. Vaz, David Cyganski, Charles R. Wright · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
A previously reported technique for object recognition and orientation determination is used to develop an information theoretic viewpoint of the model-based vision problem. The technique employs an analytic object model developed from transform coefficients of object views, and develops pose parameter estimates by minimizing an error measure developed from the model and transform coefficients of an acquired image. Parallels between this technique and vector quantization-based coding are developed, which motivate an analysis of the machine vision system performance in terms of the distortion/rate performance achievable. This paper presents the framework for such a viewpoint, along with preliminary performance results of the recognition technique.