Generic Shape Learning and Recognition

作者: Alexandre R. J. François , Gérard Medioni

DOI: 10.1007/3-540-61750-7_34

关键词: Shape analysis (digital geometry)Pattern recognitionMathematicsArtificial intelligenceRetrieval algorithmActive shape model

摘要: We address the problem of generic shape recognition, in which exact models are not available. propose an original approach, learning and recognition intimately linked, as is based on previous observation.

参考文章(19)
W Eric, L Grimson, Tomás Lozano-Pérez, Model-based recognition and localization from sparse range or tactile data The International Journal of Robotics Research. ,vol. 3, pp. 382- 414 ,(1987) , 10.1177/027836498400300301
Parag Havaldar, Gérard Medioni, Fridtjof Stein, Extraction of groups for recognition european conference on computer vision. pp. 251- 261 ,(1994) , 10.1007/3-540-57956-7_30
Janet L. Kolodner, An introduction to case-based reasoning Artificial Intelligence Review. ,vol. 6, pp. 3- 34 ,(1992) , 10.1007/BF00155578
F. Stein, G. Medioni, Structural indexing: efficient 3-D object recognition IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 14, pp. 1198- 1204 ,(1992) , 10.1109/34.121785
Tomás Lozano-Pérez, Matthew T. Mason, Russell H. Taylor, Automatic Synthesis of Fine-Motion Strategies for Robots The International Journal of Robotics Research. ,vol. 3, pp. 3- 24 ,(1984) , 10.1177/027836498400300101
R. C. Bolles, R. A. Cain, Recognising and Locating Partially Visible Objects: The Local-Feature-Focus Method The International Journal of Robotics Research. ,vol. 1, pp. 43- 82 ,(1982) , 10.1007/978-3-662-09771-7_4
Edith Schonberg, Micha Sharir, Alan Kalvin, Jacob T. Schwartz, Two dimensional model based boundary matching using footprints ,(2011)
W. Eric L. Grimson, Tomas Lozano-Perez, Localizing Overlapping Parts by Searching the Interpretation Tree IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. PAMI-9, pp. 469- 482 ,(1987) , 10.1109/TPAMI.1987.4767935
Ramakant Nevatia, Thomas O. Binford, Description and recognition of curved objects Artificial Intelligence. ,vol. 8, pp. 77- 98 ,(1977) , 10.1016/0004-3702(77)90006-6