This paper discusses the past 25 years of research in feature recognition. Although a great variety of feature recognition techniques have been developed, the discussion here focuses on the more successful ones. These include graph based and “hint” based methods, convex hull decomposition, and volume decomposition-recomposition techniques. Recent advances in recognizing features with free form features are also presented. In order to benchmark these methods, a frame of reference is created based on topological generality, feature interactions handled, surface geometry supported, pattern matching criteria used, and computational complexity. This framework is used to compare each of the recognition techniques. Problems related to domain dependence and multiple interpretations are also addressed. Finally, some current research challenges are discussed.
A Discourse on Geometric Feature Recognition From CAD Models
Contributed by the Computer Aided Product Development Committee for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received Sept. 2000; revised manuscript received Nov. 2000. Associate Editor D. Dutta.
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Shah, J. J., Anderson, D., Kim, Y. S., and Joshi, S. (November 1, 2000). "A Discourse on Geometric Feature Recognition From CAD Models ." ASME. J. Comput. Inf. Sci. Eng. March 2001; 1(1): 41–51. https://doi.org/10.1115/1.1345522
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