Parallelization Methods of the Template Matching Method on Graphics Accelerators

被引：0
|
作者：
Kertesz, Gabor [1 ]
Szenasi, Sandor [1 ]
Vamossy, Zoltan [1 ]
机构：
[1] Obuda Univ, John von Neumann Fac Informat, Budapest, Hungary
来源：
2015 16TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS (CINTI) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Template matching is a classic technique used in image processing for object detection. It is based on multiple matrix-based calculations, where there are no dependencies on partial results, so parallel solutions could be created. In this article two GPU implemented methods are presented and compared to the CPU-based sequential solution.
引用
收藏
页码：161 / 164
页数：4
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