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Article
Real-time facial feature point extraction
Faculty of Informatics - Papers (Archive)
  • Ce Zhan, University of Wollongong
  • Wanqing Li, University of Wollongong
  • Philip Ogunbona, University of Wollongong
  • Farzad Safaei, University of Wollongong
RIS ID
22295
Publication Date
1-1-2007
Publication Details

Zhan, C., Li, W., Ogunbona, P. O. & Safaei, F. (2007). Real-Time Facial Feature Point Extraction. Pacific-Rim Conference on Multimedia (pp. 88-97). Germany: Spinger.

Abstract
Localization of facial feature points is an important step for many subsequent facial image analysis tasks. In this paper, we proposed a new coarse-to-fine method for extracting 20 facial feature points from image sequences. In particular, the Viola-Jones face detection method is extended to detect small-scale facial components with wide shape variations, and linear Kalman filters are used to smoothly track the feature points by handling detection errors and head rotations. The proposed method achieved higher than 90% detection rate when tested on the BioID face database and the FG-NET facial expression database. Moreover, our method shows robust performance against the variation of face resolutions and facial expressions.
Citation Information
Ce Zhan, Wanqing Li, Philip Ogunbona and Farzad Safaei. "Real-time facial feature point extraction" (2007) p. 88 - 97
Available at: http://works.bepress.com/p_ogunbona/49/