Visible-light and Infrared Face Recognition
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer · 2003
This study examines issues involved in the comparison and combination of face recognition using visible and infra-red images. This is the only study that we know of to focus on experiments involving time lapse between gallery and probe image acquisitions. Most practical applications of face recognition would seem to involve time-lapse scenarios. We find that in a time lapse scenario, (1) PCA-based recognition using visible images may outperform PCA-based recognition using infra-red images, (2) the combination of PCA-based recognition using visible and infra-red imagery substantially outperforms either one individually, and (3) the combination of PCA-based recognition using visible and infra-red also outperforms a current commercial state-of-the-art algorithm operating on visible images. For example, in one particular experiment, PCA on visible images gave 75 % rank-one recognition, PCA on IR gave 74%, FaceIt on visible gave 86%, and combined PCA IR and visible gave 91%. 1