TY - GEN
T1 - Adaptive shadow removal algorithm for face images
AU - Zeng, Zhen
AU - Zhang, Rumin
AU - Chen, Jianwen
AU - Zeng, Liaoyuan
AU - Wang, Wenyi
AU - McGrath, Sean
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In the real world, illumination is an inevitable factor in face recognition. It has been proved that illumination variations are more significant than inherent variations between persons. This paper proposes an adaptive image processing method, which can not only suppress the effect of light in face recognition, but also remove shadow caused by illumination. In this paper, first, adaptive illumination preprocessing is performed to make the image have appropriate brightness. Then, the shadows boundaries of the image is extracted and binarized to obtain the shadow boundaries mask. Finally, the high-quality face image without shadows is reconstructed based on the mask of shadows boundaries and the face image after the illumination preprocessing. Experiments on the CMU-PIE dataset have shown that our method can achieve both good visual effects and a significant improvement in face recognition accuracy.
AB - In the real world, illumination is an inevitable factor in face recognition. It has been proved that illumination variations are more significant than inherent variations between persons. This paper proposes an adaptive image processing method, which can not only suppress the effect of light in face recognition, but also remove shadow caused by illumination. In this paper, first, adaptive illumination preprocessing is performed to make the image have appropriate brightness. Then, the shadows boundaries of the image is extracted and binarized to obtain the shadow boundaries mask. Finally, the high-quality face image without shadows is reconstructed based on the mask of shadows boundaries and the face image after the illumination preprocessing. Experiments on the CMU-PIE dataset have shown that our method can achieve both good visual effects and a significant improvement in face recognition accuracy.
KW - adaptive
KW - face recognition
KW - illumination
KW - lighting normalization
KW - shadow
UR - http://www.scopus.com/inward/record.url?scp=85061491468&partnerID=8YFLogxK
U2 - 10.1109/ICSensT.2018.8603634
DO - 10.1109/ICSensT.2018.8603634
M3 - Conference contribution
AN - SCOPUS:85061491468
T3 - Proceedings of the International Conference on Sensing Technology, ICST
SP - 227
EP - 231
BT - 2018 12th International Conference on Sensing Technology, ICST 2018
PB - IEEE Computer Society
T2 - 12th International Conference on Sensing Technology, ICST 2018
Y2 - 4 December 2018 through 6 December 2018
ER -