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Facial feature extraction and principal component analysis for face detection in color images

Cooray, Saman H. and O'Connor, Noel E. (2004) Facial feature extraction and principal component analysis for face detection in color images. In: ICIAR 2004 - International Conference on Image Analysis and Recognition, 29 September - 1 October 2004, Porto, Portugal. ISBN 978-3-540-23240-7

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Abstract

A hybrid technique based on facial feature extraction and Principal Component Analysis (PCA) is presented for frontal face detection in color images. Facial features such as eyes and mouth are automatically detected based on properties of the associated image regions, which are extracted by RSST color segmentation. While mouth feature points are identified using the redness property of regions, a simple search strategy relative to the position of the mouth is carried out to identify eye feature points from a set of regions. Priority is given to regions which signal high intensity variance, thereby allowing the most probable eye regions to be selected. On detecting a mouth and two eyes, a face verification step based on Eigenface theory is applied to a normalized search space in the image relative to the distance between the eye feature points.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:The original publication is available at www.springerlink.com
Uncontrolled Keywords:face detection; facial feature extraction; PCA; color segmentation; skin detection;
Subjects:Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Published in:Image Analysis and Recognition. Lecture Notes in Computer Science 3212. Springer Berlin / Heidelberg. ISBN 978-3-540-23240-7
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/b100438
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland
ID Code:285
Deposited On:11 Mar 2008 by DORAS Administrator. Last Modified 06 May 2010 15:42

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