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A Support Vector Data Description Committee for Face Detection
Joint Authors
Ting, Yung
Jeng, Mu-Der
Lee, Chung-Lin
Shyu, Shian-Shing
Liu, Yi-Hung
Chen, Chang-Kuo
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Face detection is a crucial prestage for face recognition and is often treated as a binary (face and nonface) classification problem.
While this strategy is simple to implement, face detection accuracy would drop when nonface training patterns are undersampled.
To avoid these problems, we propose in this paper a one-class learning-based face detector called support vector data description (SVDD) committee, which consists of several SVDD members, each of which is trained on a subset of face patterns.
Nonfaces are not required in the training of the SVDD committee.
Therefore, the face detection accuracy of SVDD committee is independent of the nonface training patterns.
Moreover, the proposed SVDD committee is also able to improve generalization ability of the original SVDD when the face data set has a multicluster distribution.
Experiments carried out on the extended MIT face data set show that the proposed SVDD committee can achieve better face detection accuracy than the widely used SVM face detector and performs better than other one-class classifiers, including the original SVDD and the kernel principal component analysis (Kernel PCA).
American Psychological Association (APA)
Liu, Yi-Hung& Ting, Yung& Shyu, Shian-Shing& Chen, Chang-Kuo& Lee, Chung-Lin& Jeng, Mu-Der. 2014. A Support Vector Data Description Committee for Face Detection. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-474726
Modern Language Association (MLA)
Liu, Yi-Hung…[et al.]. A Support Vector Data Description Committee for Face Detection. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-474726
American Medical Association (AMA)
Liu, Yi-Hung& Ting, Yung& Shyu, Shian-Shing& Chen, Chang-Kuo& Lee, Chung-Lin& Jeng, Mu-Der. A Support Vector Data Description Committee for Face Detection. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-474726
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474726