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Constraint-based feature recognition: handling non-uniqueness in feature interactions
Ist Teil von
Proceedings of IEEE International Conference on Robotics and Automation, 1996, Vol.2, p.1505-1510 vol.2
Ort / Verlag
IEEE
Erscheinungsjahr
1996
Quelle
IEEE Electronic Library Online
Beschreibungen/Notizen
The feature recognition problem is formulated as a geometric constraint satisfaction problem (GCSP), in which variables are the faces in the delta volume, the possible feature classifications determine values for the variables, and the constraints are the geometric and topological properties between the variables. A novel representation language is proposed to encode more, and somewhat redundant, information about geometric and topological properties in form features. The redundant information adds more constraints amongst objects in feature interactions and thus helps in feature recognition. Moreover, the language can be extended to represent new features.