A Fast and Accurate Unconstrained Face Detector
Liao, Shengcai1,2; Jain, Anil K.3; Li, Stan Z.1,2
2016-02-01
发表期刊IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
卷号38期号:2页码:211-223
文章类型Article
摘要We propose a method to address challenges in unconstrained face detection, such as arbitrary pose variations and occlusions. First, a new image feature called Normalized Pixel Difference (NPD) is proposed. NPD feature is computed as the difference to sum ratio between two pixel values, inspired by the Weber Fraction in experimental psychology. The new feature is scale invariant, bounded, and is able to reconstruct the original image. Second, we propose a deep quadratic tree to learn the optimal subset of NPD features and their combinations, so that complex face manifolds can be partitioned by the learned rules. This way, only a single soft-cascade classifier is needed to handle unconstrained face detection. Furthermore, we show that the NPD features can be efficiently obtained from a look up table, and the detection template can be easily scaled, making the proposed face detector very fast. Experimental results on three public face datasets (FDDB, GENKI, and CMU-MIT) show that the proposed method achieves state-of-the-art performance in detecting unconstrained faces with arbitrary pose variations and occlusions in cluttered scenes.
关键词Unconstrained Face Detection Normalized Pixel Difference Deep Quadratic Tree Adaboost Cascade Classifier
WOS标题词Science & Technology ; Technology
DOI10.1109/TPAMI.2015.2448075
关键词[WOS]RAPID OBJECT DETECTION ; HAAR-LIKE FEATURES ; CASCADE ; RECOGNITION ; SURF
收录类别SCI
语种英语
项目资助者NSFC(61203267) ; National Science and Technology Support Program(2013BAK02B01) ; CAS Project(KGZD-EW-102-2)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000369989600002
引用统计
被引频次:55[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11343
专题模式识别国家重点实验室_生物识别与安全技术研究
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Ctr Biometr & Secur Res, Inst Automat, Beijing 100190, Peoples R China
3.Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA
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Liao, Shengcai,Jain, Anil K.,Li, Stan Z.. A Fast and Accurate Unconstrained Face Detector[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2016,38(2):211-223.
APA Liao, Shengcai,Jain, Anil K.,&Li, Stan Z..(2016).A Fast and Accurate Unconstrained Face Detector.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,38(2),211-223.
MLA Liao, Shengcai,et al."A Fast and Accurate Unconstrained Face Detector".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 38.2(2016):211-223.
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