会议专题

Character Analysis of Facial Expression Thermal Image

Facial expression recognition will be studied in this paper using mathematics morphology, nose min-temperature and temperature histogram through drawing and analyzing the whole geometry characteristics and local characteristics of the interesting area of Infrared Thermal Imaging (IRTI). The author has completed the automatic calculation of the area, girth, circularity and angles, which is supposed to be the parameter vector of interesting region. The results show that geometry characteristics in the interesting region of different expression are obviously different; Facial temperature changes almost with the expression at the same time. Studies have shown feasibility of facial expression recognition on the basis of IRTI. This method can be used to monitor the facial expression in real time, which can be used in auxiliary diagnosis and medical on disease.

Guotai Jiang Le Kang

School of Life science and technology, Tongji University, Shanghai, China

国际会议

2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

北京

英文

830-833

2007-05-23(万方平台首次上网日期,不代表论文的发表时间)