Object recognition and categorization are two important key features of computer vision. Accuracy aspects representresearchchallengeforbothobjectrecognitionandcategorization techniques. High performance computing (HPC) technologies usually manage the increasing time and complexity of computations. In this paper, an approach utilizing3Dspin-imagesfor3Dobjectcategorizationisproposed.Themaincontributionofthisapproach is that item ploys the MPI techniques in a unique way to extract spin-images. The technique proposed utilizes the independence between spin-images generated a teach point. Time estimation of this technique has shown dramatic decrease of the categorization time proportion alto number of workers used.
Hegazy, D., Hamdy, A., & Elkilany, W. (2014). 3D Object Categorization Using Spin-Images with MPI Parallel Implementation. IJCI. International Journal of Computers and Information, 3(1), 75-87. doi: 10.21608/ijci.2014.33969
MLA
D. Hegazy; A. Hamdy; W. Elkilany. "3D Object Categorization Using Spin-Images with MPI Parallel Implementation". IJCI. International Journal of Computers and Information, 3, 1, 2014, 75-87. doi: 10.21608/ijci.2014.33969
HARVARD
Hegazy, D., Hamdy, A., Elkilany, W. (2014). '3D Object Categorization Using Spin-Images with MPI Parallel Implementation', IJCI. International Journal of Computers and Information, 3(1), pp. 75-87. doi: 10.21608/ijci.2014.33969
VANCOUVER
Hegazy, D., Hamdy, A., Elkilany, W. 3D Object Categorization Using Spin-Images with MPI Parallel Implementation. IJCI. International Journal of Computers and Information, 2014; 3(1): 75-87. doi: 10.21608/ijci.2014.33969
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