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

Issue Date 1-Jan-2013
Journal 2013 9th International Computer Engineering Conference: Today Information Society What's Next?, ICENCO 2013 
URI http://research.asu.edu.eg/123456789/1032
DOI http://api.elsevier.com/content/abstract/scopus_id/84896773205
25
10.1109/ICENCO.2013.6736471


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