An algorithm for human eye location in complex background based on image processing

In order to reduce the impact of image background and illumination in face locating, this dissertation has put forward a new algorithm to locate human eyes, applying YCbCr model to extract human face region, and then locating eyes correctly according to geometry and pixel features of human eyes. Exp...

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Bibliographic Details
Published inProceedings of the 10th World Congress on Intelligent Control and Automation pp. 4592 - 4595
Main Authors Wu, Minjie, Mu, Pingan, Dai, Shuguang, Zhang, Caiyan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2012
Subjects
detection and location of human eyes
Face
Face recognition
Humans
Image color analysis
Image segmentation
Lighting
Skin
YCbCr skin color model
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Summary:In order to reduce the impact of image background and illumination in face locating, this dissertation has put forward a new algorithm to locate human eyes, applying YCbCr model to extract human face region, and then locating eyes correctly according to geometry and pixel features of human eyes. Experimental results show that this algorithm can be applicable in images with different backgrounds and Nonuniform illumination environment. It has proved that it is realtime and accurate.
ISBN:9781467313971
1467313971
DOI:10.1109/WCICA.2012.6359349