Fuzzy-set based feature extraction for objects of various shapes and appearances

A method to extract functional primitives using fuzzy relations so as to effectively describe objects of various shapes and appearances is proposed. Object surfaces in a range image are segmented into visual surface regions. The geometric features between these regions are represented as fuzzy functions, which are used to extract functional primitives. This method can efficiently deal with such an object that has various shapes or appearances, and increases the performance of image analysis.

[1]  Ramakant Nevatia,et al.  Recognizing 3-D Objects Using Surface Descriptions , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Thomas O. Binford,et al.  Computer Description of Curved Objects , 1973, IEEE Transactions on Computers.

[3]  Mehmet Celenk.  Three-dimensional object shape recognition using cross sections , 1995, Other Conferences.

[4]  Gérard G. Medioni,et al.  Surface description of complex objects from multiple range images , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[5]  Dana H. Ballard,et al.  Computer Vision , 1982 .