A high-performance face detection system using OpenMP

被引：10
|
作者：
Hadjidoukas, P. E. [1 ]
Dimakopoulos, V. V. [1 ]
Delakis, M. [2 ]
Garcia, C. [2 ]
机构：
[1] Univ Ioannina, Dept Comp Sci, GR-45110 Ioannina, Greece
[2] Orange Labs, F-35512 Rennes, France
来源：
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2009年 / 21卷 / 15期
关键词：
face detection; image processing; nested parallelism; OpenMP; multi-core computing;
D O I：
10.1002/cpe.1389
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
We present the development of a novel high-performance face detection system using a neural network-based classification algorithm and an efficient parallelization with OpenMP. We discuss the design of the system in detail along with experimental assessment. Our parallelization strategy starts with one level of threads and moves to the exploitation of nested parallel regions in order to further improve, by up to 19%, the image-processing capability. The presented system is able to process images in real time (38 images/sec) by sustaining almost linear speedups on a system with a quad-core processor and a particular OpenMP runtime library. Copyright (C) 2009 John Wiley & Sons, Ltd.
引用
收藏
页码：1819 / 1837
页数：19
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