Chan, Y. H. and Syed Abu Bakar, Syed Abdul Rahman (2004) Face detection system based on feature-based chrominance colour information. In: Proceedings International Conference On Computer Graphics, Imaging And Visualization. International Conference on Computer Graphics Imaging and Visualization . IEEE, USA, pp. 153-158. ISBN ISBN: 0769521789; 978-076952178-7
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
This paper presents a novel face detection system based on feature-based chrominance colour information from an image containing one face in indoor environment with non-uniform background. The face detection algorithm is based on the adapted chain code (ACC), eye detection and modified golden ratio (MGR). ACC is proposed to obtain a face boundary. MGR attempts to extract part of a face that includes eyes, eyebrows, nose and mouth, based on the detected eyes' positions. Experimental results show that the proposed algorithm is able to detect a face of near frontal with high accuracy. The database consists of faces with and without spectacles, wearing headscarf and without wearing headscarf.
|Item Type:||Book Section|
|Additional Information:||ISBN: 0769521789; 978-076952178-7 Proceedings - International Conference on Computer Graphics, Imaging and Visualization, CGIV 2004; 26-29 July 2004, Penang.|
|Uncontrolled Keywords:||Adapted chain code (ACC), face boundary estimation, modified golden ratio (MGR),skin colour segmentation, algorithms, approximation theory, database systems, feature extraction, image segmentation, wavelet transforms, face recognition|
|Subjects:||T Technology > T Technology (General)|
|Deposited By:||Dr Zaharuddin Mohamed|
|Deposited On:||21 Mar 2007 09:20|
|Last Modified:||08 Mar 2011 08:52|
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