Candidate narrowing for Face Identification Using Facial Expression
Lifeng Zhang, Lin Zhao, Keisuke Korekoda, Hiroshi Kondo · ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications · 2008
Recently, face authentication becomes a hot topic not only in security system but also in home entertainment field. Since face identification is of non-contact and little psychological resistance one, it can be easily accept by user side. And also we know it is difficult to perform a perfect authentication with and only with a face, so in fact the identification is combined with other authentication method (Ex. password, finger print, voice, etc.), this makes a complex algorithm, and different sensor will increase the cost. So use one CCD camera do candidate narrowing and identification is a good idea. On the other hand, to read the feelings state of human being, the computer recognition of facial expression is researched from long before, and also many fruitful results were achieved. However, the relation between face identification and expression recognition has been hardly examined up to now though these two researches use the same objects(face). This paper has aimed to unite these two researches, and to find a new approach to narrow candidate for face identification.