Although structural approaches to pattern recognition are not as popular anymore as they were some 30 years ago, they still provide reasonable solutions for certain recognition problems. This paper demonstrates that recognizing mechanical assemblies is among these problems. We will present and evaluate a framework for visual assembly recognition that combines different structural techniques. Context free grammars are used to detect assemblies in an image. The resulting syntactic structures are translated into relational models which enable the recognition of individual assemblies.
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