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Proceedings Paper

Eye and mouth localization for various imaging conditions images
Author(s): M. Hanafi; M. Petrou; A. R. Ramli; W. A. W. Adnan
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Paper Abstract

This paper presents an algorithm to detect the eyes and mouth of the faces under various imaging conditions such as with different poses, dimensions, illuminations, resolutions, wearing glasses or not and having different expressions is proposed. Initially, the algorithm converted the face region detected by the Viola-Jones algorithm into gray-scale and reduced the resolution by decimation to achieve low resolution region. The pixels that are darker than their surroundings are later located by 8 individual filters. Finally, the center of eyes and mouth are searched using a triangle model. Experiment show that, the algorithm produced 98.7% accuracy in detecting the eyes and mouth.

Paper Details

Date Published: 11 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490D (11 January 2012); doi: 10.1117/12.920211
Show Author Affiliations
M. Hanafi, Imperial College London (United Kingdom)
Univ. Putra Malaysia (Malaysia)
M. Petrou, Imperial College London (United Kingdom)
A. R. Ramli, Univ. Putra Malaysia (Malaysia)
W. A. W. Adnan, Univ. Putra Malaysia (Malaysia)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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