A framework for a general model-based ATR theory
Ittay Weiss · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
An ATR theory is useful both for developing of ATR algorithms and evaluating their performance. We present here a model-based ATR theory based on hierarchies of parts. Objects and parts are represented as nodes in an attributed graph, while the links between nodes represent invariant relations between the parts. These can be either geometric (quantitative) invariants or structural (qualitative) ones. A metric is used to measure the distance of an object from known models, based on the distances of the parts. This is different from traditional pixel-based or template-based metrics which are very sensitive to any variation in the object. Unlike previous graph-based methods, we do not try to segment the object before recognizing it. Rather, the segmentation is guided by the models and goes hand-in-hand with the recognition process. The theory has been implemented for simple cases.