Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40214
Title: Model-based varying pose face detection and facial feature registration in video images
Authors: Fan, L. 
Sung, K.K. 
Issue Date: 2000
Source: Fan, L.,Sung, K.K. (2000). Model-based varying pose face detection and facial feature registration in video images. Proceedings of the ACM International Multimedia Conference and Exhibition : 295-302. ScholarBank@NUS Repository.
Abstract: This paper presents an automatic method for simultaneous human face detection and facial feature registration from colour video images. At the first stage, we use a skin colour Gaussian model to identify possible face locations under varying pose. Secondly, we compare image patterns with a varying pose face model in terms of shape and texture differences, using a combined feature-texture similarity measure (FTSM). False detections from the first stage are eliminated by setting an appropriate FTSM threshold. Moreover, one can also register the facial features (eyes, nose and mouth) by aligning a prototype face with the unknown pose faces. Experimental results show that the proposed method can achieve reliable face detection and feature registration under various conditions, including different poses, face appearances, and lighting conditions.
Source Title: Proceedings of the ACM International Multimedia Conference and Exhibition
URI: http://scholarbank.nus.edu.sg/handle/10635/40214
Appears in Collections:Staff Publications

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