Pennes Equation Based Blood Perfusion Model and its Application in Face Recognition

摘要：

To get stable biological features from the time-elapse infrared face, a new construction method of blood perfusion is proposed based on bio-heat transfer, which can be applied to face recognition. Firstly, according to the classic bio-heat transfer equation (the Pennes Equation), the blood perfusion rate in different positions can be computed based on the new blood perfusion model (PBPM). Then, due to the low-resolution of the infrared images, the feature extraction method (Liner Discriminative Analysis in DCT domain) is chosen to get the principle features in the blood perfusion image, which is suitable for real-time application. The experiment results demonstrate that compared traditional methods, the blood perfusion model proposed in this paper is more stable, the infrared face recognition method proposed is robust to both same-session data and time-elapse data.

关键词： bio-heat transfer Pennes equation blood perfusion image face recognition

作者: Xie Zhihua Liu Guodong Wu Shiqian Fang Zhijun Gan Yun

作者单位: Key Lab of Optic-Electronic and Communication Jiangxi Sciences and Technology Normal University Nanc School of information technology Jiangxi University of Finance and Economics Nanchang,Jiangxi,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）