Comparing random starts local search with key feature matching

IJCAI International Joint Conference on Artificial Intelligence

Volumn 2, Issue , 1997, Pages 1476-1481

  Beveridge, J Ross ^a   Graves, Christopher R ^a   Steinborn, Jim ^a  

^a Colorado State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CRITERION FUNCTIONS; EMPIRICAL STUDIES; KEY FEATURE; LINE SEGMENT; LOCAL SEARCH; LOCAL SEARCH ALGORITHM; OBJECT MODEL; OPTIMAL MATCHING;

ARTIFICIAL INTELLIGENCE; OBJECT RECOGNITION;

ALGORITHMS;

EID: 0041039772     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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2. J. Ross Beveridge. Local Search Algorithms for Geometric Object Recognition: Optimal Correspondence and Pose. PhD thesis, University of Massachusetts at Amherst, May 1993.
3. J. Ross Beveridge, Edward M. Riseman and Christopher R. Graves. How Easy is Matching 2D Line Models Using Local Search? IEEE Trans, on Pattern Analysis and Machine Intelligence, page (to appear), 1997.
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9. Yehezkel Lamdan, Jacob T. Schwartz, and Haim J. Wolfson. Affine invariant model-based object recognition. IEEE Transactions on Robotics and Automation, 6(5):578-589, October 1990.
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