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Large scale 3D shape retrieval by exploiting multi-core and GPU

M. Benjelloun, E.W. Dadi, E.M. Daoudi
University of Mons, Faculty of Engineering, Dept of Computer Science, Mons, Belgium
The 2013 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’13), 2013

@article{benjelloun2013large,

   title={Large scale 3D shape retrieval by exploiting multi-core and GPU},

   author={BENJELLOUN, M and DADI, EW and DAOUDI, EM},

   year={2013}

}

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This paper addresses the problem of 3D shape retrieval in large databases of 3D objects (large retrieval). While this problem is emerging and interesting as the size of 3D object databases grows rapidly, the main two issues the community has to focus on are: computational efficiency of 3D object retrieval and the quality of retrieved results. In this work we deal with the first consideration, namely the computational efficiency of 3D object retrieval by exploiting new implementations based on parallel computing by exploiting multi-core and GPU architectures. Experimental results, show that the large scale retrieval can be achieved using the multi-core environment.
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