LNCS 3024 Fusion of Infrared and Visible Images for Face Recognition 1st edition by Aglika Gyaourova George Bebis and Ioannis Pavlidis ISBN 3540219811  978-3540219811

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ISBN 10: 3540219811
ISBN 13:   978-3540219811
Author: Aglika Gyaourova, George Bebis and Ioannis Pavlidis  

Abstract. A number of studies have demonstrated that infrared (IR) imagery offers a promising alternative to visible imagery due to it’s in- sensitive to variations in face appearance caused by illumination changes. IR, however, has other limitations including that it is opaque to glass. The emphasis in this study is on examining the sensitivity of IR imagery to facial occlusion caused by eyeglasses. Our experiments indicate that IR-based recognition performance degrades seriously when eyeglasses are present in the probe image but not in the gallery image and vice versa. To address this serious limitation of IR, we propose fusing the two modali- ties, exploiting the fact that visible-based recognition is less sensitive to the presence or absence of eyeglasses. Our fusion scheme is pixel-based, operates in the wavelet domain, and employs genetic algorithms (GAs) to decide how to combine IR with visible information. Although our fusion approach was not able to fully discount illumination effects present in the visible images, our experimental results show substantial improvements recognition performance overall, and it deserves further consideration.

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