Robust face recognition using 2D and 3D data: Pose and illumination compensation
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摘要
The paper addresses the problem of face recognition under varying pose and illumination. Robustness to appearance variations is achieved not only by using a combination of a 2D color and a 3D image of the face, but mainly by using face geometry information to cope with pose and illumination variations that inhibit the performance of 2D face recognition. A face normalization approach is proposed, which unlike state-of-the-art techniques is computationally efficient and does not require an extended training set. Experimental results on a large data set show that template-based face recognition performance is significantly benefited from the application of the proposed normalization algorithms prior to classification.
论文关键词:Face recognition,Range data,Pose,Illumination
论文评审过程:Received 3 March 2004, Revised 7 February 2005, Accepted 7 February 2005, Available online 6 September 2005.
论文官网地址:https://doi.org/10.1016/j.patcog.2005.02.001