Computing perceptual organization using voting methods and graphical enumeration

Abstract

Presents an efficient hierarchical computational paradigm for perceptual organization. Organization at each level of the hierarchy is done by graph enumeration on a set of Gestalt graphs. Efficient voting methods are proposed. The authors develop the method in detail and analyze its computational efficiency, considering both time and space. The theoretical and practical results are very encouraging. They strongly advocate the idea of an organizational hierarchy, constructed using graph enumeration. Graph theoretic representations enable one to extract various structures with considerable ease. They evaluated the performance using real images, with good results.<>