Facial component detection for efficient facial characteristic point extraction
- Authors
- Oh, J.-S.; Kim, D.-W.; Kim, J.-T.; Yoon, Y.-I.; Choi, J.-S.
- Issue Date
- Sep-2005
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- IMAGE ANALYSIS AND RECOGNITION, v.3656, pp 1125 - 1132
- Pages
- 8
- Journal Title
- IMAGE ANALYSIS AND RECOGNITION
- Volume
- 3656
- Start Page
- 1125
- End Page
- 1132
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65490
- DOI
- 10.1007/11559573_136
- ISSN
- 0302-9743
1611-3349
- Abstract
- This paper proposes an algorithm detecting facial component to efficiently extract the FCP (Facial Characteristic Point). The FCP plays an important role in facial expression representation or recognition. For efficient FCP extraction using image processing, we analyze and improve the conventional algorithms detecting facial components that are the basis of the FCP extraction. The proposed algorithm includes face region detection without the effect of skin-color hair, eye region detection with weighted template, eyebrow region detection using a modified histogram, and mouth region detection using skin characteristics.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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