Face recognition with multiple eigenface spaces
Ming Feng Jiang, Guilin Zhang, Zhaoyang Chen, Zheng Zhang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
This paper addresses an ameliorative version of traditional eigenface methods. Much of the previous work on eigenspace methods usually built only one eigenface space with eigenfaces of different persons, utilizing only one or very limited faces of an individual. The information of one facial image is very limited, so traditional methods have difficulty coping with differences of facial images caused by the changes of age, emotion, illumination, and hairdress. We took advantage of facial images of the same person obtained at different ages, under different conditions, and with different emotion. For every individual we constructed an eigenface subspace separately, namely multiple eigenface spaces were constructed for a face database. Experiments illustrated that the ameliorative algorithm is distortion- invariant to some extent.