期刊
PATTERN RECOGNITION
卷 78, 期 -, 页码 43-55出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2018.01.003
关键词
Face recognition across pose; LBP; Huffman; Divide-and-Rule strategy
资金
- Natural Science Foundation of China [61272195, 61472055, 61100114, 61502067, U1401252]
- Program for New Century Excellent Talents in University of China [NCET-11-1085]
- Chongqing Outstanding Youth Found [cstc2014jcyjjq40001]
- Chongqing Research Program of Application Foundation and Advanced Technology [cstc2012jjA1699, cstc2015jcyjA40013]
- Chongqing Municipal Education Commission [KJ1500417]
- China Scholarship Council [201407845019]
- Natural Science Foundation of CQ [cstc2015jcyjA40011]
Face recognition in harsh environments is an active research topic. As one of the most important challenges, face recognition across pose has received extensive attention. LBP feature has been used widely in face recognition because of its robustness to slight illumination and pose variations. However, due to the way of pattern feature calculation, its effectiveness is limited by the big rotations. In this paper, a new LBP-like feature extraction is proposed which modifies the code rule by Huffman. Besides, a Divide-and-Rule strategy is applied to both face representation and classification, which aims to improve recognition performance across pose. Extensive experiments on CMU PIE database, FERET database and LFW database are conducted to verify the efficacy of the proposed method. The experimental results show that our method significantly outperforms other approaches. (C) 2018 Elsevier Ltd. All rights reserved.
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