This paper gives a preliminary study on the possibility of using RBF network to recognize 3D objects by direct projection matching with no insertion of feature extraction procedure. Two problems are studied; one is the maximum distance (in terms of rotating angles) between consecutive 2D projections of the 3D object, beyond which correct discrimination will be out of the question. The other is the way to generate the attractor locations automatically, competitive learning algorithm of auto-clustering is proposed. Experimental results of both parts are presented.
"RBF network and 3D object recognition", Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); doi: 10.1117/12.235932; https://doi.org/10.1117/12.235932