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Facial features and appearance-based classification for face detection in color images

Cooray, Saman H. and O'Connor, Noel E. (2004) Facial features and appearance-based classification for face detection in color images. In: IWSSIP 2004 - International Workshop on Systems, Signals and Image Processing, 13-15 September 2004, Poznan, Poland.

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Abstract

A technique is presented for frontal face detection in color images based on facial feature extraction and appearance-based classification. Salient facial features are used to define a search space that is then used in a classification step in order to find the best position of the face in the image. Mouth feature points are identified using the redness property of image pixels whilst eye feature points are detected using a search strategy applied to a subset of regions in a fine region-based segmentation of the candidate face. Face class modeling based on a multivariate normal distribution and discriminating feature analysis is used as the face classification method. The utilization of facial features in this system avoids analyzing the image at every pixel location as well as at multiple scales when detecting faces of different sizes.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Facial feature extraction; face detection; multivariate normal distribution; PCA; 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
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland
ID Code:408
Deposited On:02 Apr 2008 by DORAS Administrator. Last Modified 06 May 2010 13:30

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