Interactively Matching Hand-Drawings Using Induction

Adrian R. Pearce, Terry Caelli
1999 Computer Vision and Image Understanding  
In this paper we consider the task of matching patterns, as occur in hand-drawn symbols and schematic diagrams, by their parts and relationships. Of particular interest for computer vision is the integration of two approaches to the recognition by parts problem-graph matching and syntactic rule-based approaches. A new procedure is developed, named CLARET, which matches parts and relationships by tightly coupling the processes of matching and rule generation at run time. We have developed an
more » ... ractive system for interpreting hand-drawn symbols and schematic drawings. The system operates invariant to rotation, scale and position and projects images onto a drawing canvas. The procedure is analyzed for its ability to accommodate new symbols and answer orientation queries, and it is compared empirically with machine learning techniques.
doi:10.1006/cviu.1998.0742 fatcat:cxiy5xkas5hcdh7entawqlvtou