Recognizing 3D articulated-line-drawing objects
Patrick S. P. Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
This paper deals with recognition of three-dimensional (3D) polyhedral objects from two- dimensional (2D) line-drawing images. A new scheme is presented, which is aimed at learning, representing, and recognizing complicated 3D polyhedral objects such as concave, self-occluded and articulated objects, yet with only very few learning samples and can distinguish objects with very similar patterns. Several examples are illustrated.