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Face detection and facial component extraction by wavelet decomposition and support vector machines

Authors
Xi, DHLee, SW
Issue Date
2003
Publisher
SPRINGER-VERLAG BERLIN
Keywords
Face Detection; Facial Component Extraction
Citation
AUDIO-BASED AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, v.2688, pp.199 - 207
Indexed
SCIE
SCOPUS
Journal Title
AUDIO-BASED AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS
Volume
2688
Start Page
199
End Page
207
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/124369
ISSN
0302-9743
Abstract
Quite recently the support vector machine (SVM) has shown a great potential in the area of automatic face detection. Generally the SVM based methods fall into two categories: component-based and whole face-based. However there exist some limitations to each category. In this paper we present a two-stage method using both SVM categories based on multiresolution wavelet decomposition (MWD). In the first stage, the whole face-based SVMs are used for coarse location of faces from small sub-images of low resolution. Then a set of component-based SVMs are applied to verify the extracted candidates in subsequent larger sub-images of higher resolutions. Experimental results show that this wavelet-SVM based method takes the advantage of the effectiveness of both categories of SVM-based methods and the computation efficiency.
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