NDLI: On curve matching

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On curve matching

Content Provider	IEEE Xplore Digital Library
Author	Wolfson, H.J.
Copyright Year	1979
Abstract	Two algorithms to find the longest common subcurve of two 2D curves are presented. These algorithms are based on conversion of the curves into shape signature strings and application of string matching techniques to find long matching substrings, followed by direct curve matching of the corresponding candidate subcurves to find the longest matching subcurve. The first algorithm is of complexity O(n), where n is the number of sample points on the curves. The second one, while being theoretically somewhat less efficient, proved to be robust and efficient in practical applications. Both algorithms solve the problem of general curves without being dependent on some set of special points on the curves. The algorithms have industrial applications to problems of object assembly and object recognition. Experimental results are included. The algorithms can be easily extended to the 3D case.<>
Sponsorship	IEEE Computer Society
Starting Page	483
Ending Page	489
Page Count	7
File Size	979760
File Format	PDF
ISSN	01628828
Volume Number	12
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern matching Robotic assembly Layout Object recognition Application software Least squares methods Shape Robustness Intelligent robots Pattern recognition
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software

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