DUGi

3D shape retrieval using viewpoint information-theoretic measures

http://dugi.udg.edu/item/http:@@@@hdl.handle.net@@2072@@296925

In this paper, we present an information-theoretic framework to compute the shape similarity between 3D polygonal models. Given a 3D model, an information channel between a sphere of viewpoints around the model and its polygonal mesh is defined to compute the specific information associated with each viewpoint. The obtained information sphere can be seen as a shape descriptor of the model. Then, given two models, their similarity is obtained by performing a registration process between the corresponding information spheres. The distance between the information histograms is also defined as a coarse measure of similarity, as well as the scalar value given by the mutual information of the channel. The performance of all these measures is tested using the Princeton Shape Benchmark database

This work has been founded in part by grant number TIN2010-21089-C03-01 and BES-2011-045252 of Spanish Government, grant number 2009-SGR-643 of Generalitat de Catalunya (Catalan Government), and National Natural Science Foundation of China (Nos. 61331018, 61372190)

Wiley