Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0167-8655(02)00215-5
Title: Model-based varying pose face detection and facial feature registration in colour images
Authors: Fan, L. 
Sung, K.-K. 
Keywords: Face registration
Image matching
Similarity measure
Statistical modeling
Varying pose face detection
Issue Date: 2003
Source: Fan, L., Sung, K.-K. (2003). Model-based varying pose face detection and facial feature registration in colour images. Pattern Recognition Letters 24 (1-3) : 237-249. ScholarBank@NUS Repository. https://doi.org/10.1016/S0167-8655(02)00215-5
Abstract: This paper presents a hybrid method for varying pose face detection and facial feature registration from colour images. At the first stage, we use a skin-colour Gaussian model to identify possible varying pose face regions. At the second stage, we compare each face candidates with a varying pose face model using a combined feature-texture similarity measure (FTSM). False detections from the first stage are eliminated by setting an appropriate FTSM threshold. Also, one can 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. © 2002 Elsevier Science B.V. All rights reserved.
Source Title: Pattern Recognition Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/39005
ISSN: 01678655
DOI: 10.1016/S0167-8655(02)00215-5
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