MPI Parallel Implementation of 3D Object Categorization using Spin-Images

被引：0

作者：

Eleliemy, A. ^{[1
]}

Hegazy, D. ^{[1
]}

Elkilani, Wail S. ^{[1
]}

机构：

[1] Ain Shams Univ, Comp Syst Dept, Cairo, Egypt

来源：

2013 9TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO 2013): TODAY INFORMATION SOCIETY WHAT'S NEXT? | 2014年

关键词：

Object categorization; spin-image; support vector machine; MPI; RECOGNITION;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Object recognition and categorization are two important key features of computer vision. Accuracy aspects represent research challenge for 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 is 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 have shown dramatic decrease of the categorization time proportional to number of workers used.

引用

页码：25 / 31

页数：7

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