Active intelligent vision using the dynamic generalized Hough Transform

Abstract

Parametric transformation is a powerful tool in shape analysis which gives good results even in the presence of noise and occlusion. Major shortcomings of the technique are excessive storage requirements, computational complexity and the need to initiate a separate transformation process with respect to each feature under detection. In addition, standard parametric transformation processes the entire image treating each image point independently. The proposed method selectively segments the image and provides a feedback mechanism linking image and transform space. Decisions are made concerning the probable instance of shape under detection, the viability of processing and the need to gather further evidence from the image.