Structural Shape Prototypes for the Automatic Classification of 3D Objects
作者： Simone Marini , Michela Spagnuolo , Bianca Falcidieno
DOI: 10.1109/MCG.2007.89
关键词: Feature extraction 、 Computer science 、 Directed graph 、 Object (computer science) 、 Contextual image classification 、 Pattern recognition 、 Artificial intelligence 、 Solid modeling 、 Class (biology) 、 Image retrieval
摘要: This technique for defining and constructing 3D shape prototypes improves automatic content classification search by summarizing key features of the members a class, then classifying query object into class that prototype most similar to given represents.
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Jianping Zhang, Selecting typical instances in instance-based learning international conference on machine learning. pp. 470- 479 ,(1992) , 10.1016/B978-1-55860-247-2.50066-8
Silvia Biasotti, Simone Marini, Michela Spagnuolo, Bianca Falcidieno, Sub-part correspondence by structural descriptors of 3D shapes Computer-Aided Design. ,vol. 38, pp. 1002- 1019 ,(2006) , 10.1016/J.CAD.2006.07.003
B.T. Messmer, H. Bunke, A new algorithm for error-tolerant subgraph isomorphism detection IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 20, pp. 493- 504 ,(1998) , 10.1109/34.682179