3D Object Categorization Using Spin-Images with MPI Parallel Implementation | ||||
| IJCI. International Journal of Computers and Information | ||||
| Article 6, Volume 3, Issue 1, June 2014, Page 75-87 PDF (546.69 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijci.2014.33969 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| D. Hegazy; A. Hamdy* ; W. Elkilany | ||||
| Computer Systems Department, Ain Shams University | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| Object categorization; spin-image; support vectormachine; MPI | ||||
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