TY - GEN
T1 - Illumination alignment using lighting ratio
T2 - 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013
AU - Zhao, Xi
AU - Shah, Shishir K.
AU - Kakadiaris, Ioannis A.
PY - 2013
Y1 - 2013
N2 - Illumination alignment is accomplished by relighting or unlighting methods that compensate the appearance differences due to variations in illumination conditions between a pair of face images or among a set of face images. In this paper, we propose a lighting ratio based method that avoids parameter tuning process by using an image-specific low-pass filtering. In addition, it includes an optimization step that brings the images into a similar energy level. The proposed method is simple and does not require any prior knowledge of the number, position, type of lighting sources or the 3D face geometry. Experimental results indicate that our method is effective and efficient for illumination-robust face recognition.
AB - Illumination alignment is accomplished by relighting or unlighting methods that compensate the appearance differences due to variations in illumination conditions between a pair of face images or among a set of face images. In this paper, we propose a lighting ratio based method that avoids parameter tuning process by using an image-specific low-pass filtering. In addition, it includes an optimization step that brings the images into a similar energy level. The proposed method is simple and does not require any prior knowledge of the number, position, type of lighting sources or the 3D face geometry. Experimental results indicate that our method is effective and efficient for illumination-robust face recognition.
UR - https://www.scopus.com/pages/publications/84881490144
U2 - 10.1109/FG.2013.6553782
DO - 10.1109/FG.2013.6553782
M3 - 会议稿件
AN - SCOPUS:84881490144
SN - 9781467355452
T3 - 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013
BT - 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013
PB - IEEE Computer Society
Y2 - 22 April 2013 through 26 April 2013
ER -