MPI parallel implementation of 3D object categorization using spin-images
Eleliemy A.; Hegazy, Doaa; Elkilani W.;
Abstract
Object recognition and categorization are two important key features of computer vision. Accuracy aspects represent research challenge fo r both object recognition and categorization techniques. High performance computing (HPC) technologies usually manage the increasing time and complexity of computations. In this paper, a new approach that use 3D spin-images for 3D object categorization is introduced. The main contribution of our approach i s that it employs the MPI techniques in a unique way to extract spin-images. The technique proposed utilizes the independence between spin-images generated at each point. Time estimation of our technique ha ve shown dramatic decrease of the categorization time proportional to number of workers used. © 2013 IEEE.
Other data
Title | MPI parallel implementation of 3D object categorization using spin-images | Authors | Eleliemy A. ; Hegazy, Doaa ; Elkilani W. | Issue Date | 1-Jan-2013 | Conference | 9th International Computer Engineering Conference: Today Information Society What's Next?, ICENCO 2013 | DOI | 10.1109/ICENCO.2013.6736471 | Scopus ID | 2-s2.0-84896773205 |
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