Building a Computation Savings Real-Time Face Detection and Recognition System

摘要：

This paper presents two techniques in developing a computation savings Real-Time Face Detection and Recognition System. There have been numerous techniques proposed for face detection and face recognition. Most techniques emphasize on the efficiency in getting positive results, but when come to implementation in a realtime system, speed is vital. We focuses on our proposed methods to speed up and optimize the system components, e.g. the image resolution resizing technique to perform faster face detection in high resolution image, and face tracking to reduce redundant processes in face recognition Our system testing reveals that the techniques are effective whereby the system is successfully optimized to have improved computation speed especially in a computationally constrained task environment th us making it com patible for real-time applications.

关键词： face deteaion face recognition real-time optimization

作者: Wee Lau Cheong Cheng Mun Char Yi Chwen Lim Samuel Lim Siak Wang Khor

作者单位: Faculty of Information and Communication Technology Universiti Tunku Abdul Rahman Petaling Jaya, Malaysia

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 815-819

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）