A Fast and Accurate Unconstrained Face Detector | |
Liao, Shengcai1,2; Jain, Anil K.3; Li, Stan Z.1,2 | |
刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE |
2016-02-01 | |
卷号 | 38期号:2页码:211-223 |
关键词 | Unconstrained Face Detection Normalized Pixel Difference Deep Quadratic Tree Adaboost Cascade Classifier |
DOI | 10.1109/TPAMI.2015.2448075 |
文献子类 | Article |
英文摘要 | 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. |
WOS关键词 | RAPID OBJECT DETECTION ; HAAR-LIKE FEATURES ; CASCADE ; RECOGNITION ; SURF |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000369989600002 |
资助机构 | NSFC(61203267) ; National Science and Technology Support Program(2013BAK02B01) ; CAS Project(KGZD-EW-102-2) |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/11343] |
专题 | 自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心 |
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 |
推荐引用方式 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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