Example-Driven Graphics Recognition

Authors:
Liu Wenyin
Affiliations:
-
Venue:
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2002

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Abstract

An example-driven graphics recognition scheme is presented, which is an extension of the generic graphics recognition algorithm we presented years ago. The key idea is that, interactively, the user can specify one or more examples of one type of graphic objects in an engineering drawing image, an the system then learn the constraint rules among the components in this type of graphic objects and recognize similar objects in the same drawing or similar drawings by matching the constraint rules. Preliminary experiments have shown that this is a promising way for interactive graphics recognition.