Computing similarity among 3d objects using dynamic time warping

Authors:
A. Angeles-Yreta;J. Figueroa-Nazuno
Affiliations:
Centro de Investigación en Computación, Instituto Politécnico Nacional, Unidad Profesional “Adolfo López Mateos”, Zacatenco, México D.F.;Centro de Investigación en Computación, Instituto Politécnico Nacional, Unidad Profesional “Adolfo López Mateos”, Zacatenco, México D.F.
Venue:
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2005

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Abstract

A new model to compute similarity is presented. The representation of a 3D object is reviewed; sequence of vertices and index of vertices are the basic information about the shape of any 3D object. A linear function called Labeling is introduced to create a new sequence or time series from a 3D object. A method to create randomly 3D objects is also described. Experimental results show viability to compute similarity among 3D objects using the extracted sequences and the Dynamic Time Warping algorithm.