@article{(Open Science Index):https://publications.waset.org/pdf/9067, title = {Clustered Signatures for Modeling and Recognizing 3D Rigid Objects}, author = {H. B. Darbandi and M. R. Ito and J. Little}, country = {}, institution = {}, abstract = {This paper describes a probabilistic method for three-dimensional object recognition using a shared pool of surface signatures. This technique uses flatness, orientation, and convexity signatures that encode the surface of a free-form object into three discriminative vectors, and then creates a shared pool of data by clustering the signatures using a distance function. This method applies the Bayes-s rule for recognition process, and it is extensible to a large collection of three-dimensional objects.}, journal = {International Journal of Computer and Information Engineering}, volume = {2}, number = {5}, year = {2008}, pages = {1374 - 1382}, ee = {https://publications.waset.org/pdf/9067}, url = {https://publications.waset.org/vol/17}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 17, 2008}, }