A dynamic system for object description and correspondence
A unified framework for object description and correspondence in range images is proposed. This is based on modeling the ambiguities with a dynamic system at every level of hierarchy. The critical issue in object description is boundary completion. The authors show how this step can be modeled as the interaction of long and short term variables operating on partial contours, represented by parametric splines. In a sense, this network operates on an evolutionary basis where boundary completion is modeled as a synergistic process, and mutation is modeled as differential decay. Once reliable surface features are extracted, the same framework, with appropriate constraints, can find the corresponding surfaces and compute the transformation.<<ETX>>