CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
A Fast and Accurate Unconstrained Face Detector
Liao, Shengcai1,2; Jain, Anil K.3; Li, Stan Z.1,2
Source PublicationIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
2016-02-01
Volume38Issue:2Pages:211-223
SubtypeArticle
AbstractWe 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.
KeywordUnconstrained Face Detection Normalized Pixel Difference Deep Quadratic Tree Adaboost Cascade Classifier
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TPAMI.2015.2448075
WOS KeywordRAPID OBJECT DETECTION ; HAAR-LIKE FEATURES ; CASCADE ; RECOGNITION ; SURF
Indexed BySCI
Language英语
Funding OrganizationNSFC(61203267) ; National Science and Technology Support Program(2013BAK02B01) ; CAS Project(KGZD-EW-102-2)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000369989600002
Citation statistics
Cited Times:67[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11343
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.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
Recommended Citation
GB/T 7714
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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