计算机与现代化Issue(6)：122-126,5.DOI:10.3969/j.issn.1006-2475.2015.06.027
基于CUDA的实时人脸识别系统
CUDA-based Real-time Face Recognition System
刘铎1
作者信息
- 1. 中航工业西安航空计算技术研究所第十研究室，陕西 西安 710065
- 折叠
摘要
Abstract
Through the optimization of the two important part of face recognition system, we proposed a CUDA-based real-time face recognition system. In the face detection phase with Viola-Jones cascade classifier, we implemented and improved novel par-allel methodologies of image integral, calculation scan window processing and the amplification and correction of classifiers. In the face recognition phase, we explored the parallelizing of the algorithm and parallelized some part of the testing phase. In compari-son with traditional CPU program, the proposed approach running on an NVIDIA GTX 570 graphics card could respectively a-chieve 22. 42 times speedup in detection phase and 1668. 56 times speedup in recognition phase. The recognition speed will in-crease until it reaches the hardware resource limit. The experimental results demonstrate that the system achieves a good real-time performance.关键词
人脸识别/人脸检测/CUDA/实时Key words
face recognition system/face detection/Compute Unified Device Architecture ( CUDA)/real-time分类
信息技术与安全科学引用本文复制引用
刘铎..基于CUDA的实时人脸识别系统[J].计算机与现代化,2015,(6):122-126,5.
