The importance of the color information in face recognition

A common feature found in practically all technical approaches proposed for face recognition is the use of only the luminance information associated to the face image. One may wonder if this is due to the low importance of the color information in face recognition or due to other less technical reasons such as the no availability of color image database. Motivated by this reasoning, we have performed a variety of tests using a global eigen approach developed previously, which has been modified to cope with the color information. Our results show that the use of the color information embedded in a eigen approach, improve the recognition rate when compared to the same scheme which uses only the luminance information.

[1]  E.E. Pissaloux,et al.  Image Processing , 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.

[2]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[3]  Jun Zhang,et al.  Pace recognition: eigenface, elastic matching, and neural nets , 1997, Proc. IEEE.

[4]  S. Akamatsu Transforming Facial Images in 2 and 3-D , 1997 .

[5]  Fernando Pereira,et al.  MPEG-4: Context and objectives , 1997, Signal Process. Image Commun..

[6]  Luis Torres,et al.  Face recognition of video sequences in a MPEG-7 context using a global eigen approach , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[7]  Alex Pentland,et al.  View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.