Partially occluded face completion and recognition

Authors:
Yue Deng;Dong Li;Xudong Xie;Kin-Man Lam;Qionghai Dai
Affiliations:
TNList and Department of Automation, Tsinghua University;Department of Electronic and Information Engineering, Hong Kong Polytechnic University;TNList and Department of Automation, Tsinghua University;Department of Electronic and Information Engineering, Hong Kong Polytechnic University;TNList and Department of Automation, Tsinghua University
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper proposes a spectral graph based algorithm for face image repairing, which can improve the recognition performance on occluded faces. Our algorithm is called 'guided label-learning', so named from graphical models, and can achieve a high-quality repairing of damaged or occluded faces. We apply our face repairing algorithm in order to produce completed faces, and then use face recognition to evaluate the performance of our algorithm. Experiment results show that, at most, a nearly 30%-increase in the recognition rate can be achieved for occluded faces with the use of our algorithm.