Abstract
An approach to 3-D recognition of randomly oriented parts with known geometry is described. The method relies on line and corner data extracted in a preprocessing stage. A single 3-D geometrical model of the part is used. The part description is CAD-like. An Augmented Transition Network (ATN) controls an analysis-by-synthesis search procedure that is based on hypothesis generation and verification. A state-space search technique is used.
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