Recognition Of Partially Occluded Workpieces By A Knowledge-Based System
Sebastiano Bruno Serpico, Gianni L. Vernazza, Silvana Dellepiane, P. Angela · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1987
A knowledge-based system is presented that is oriented toward partially occluded 2-D workpiece recognition in TV camera images. The generalized Hough transform is employed to extract elementary edge patterns. Intrinsic and relational information regarding elementary patterns is computed and then stored inside a net of frames. A similar net of frames is employed for workpiece model representation, for an easy matching with the previous net. A set of production rules provide the heuristics to find hints for locating focus-of-attention regions, while other production rules specify modalities for applying a hypothesis-generation-and-test process. Experimental results on a set of 20 workpieces are reported.