Title :
An algorithm for human eye location in complex background based on image processing
Author :
Wu Minjie ; Mu Pingan ; Dai Shuguang ; Zhang Caiyan
Author_Institution :
Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
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.
Keywords :
eye; face recognition; feature extraction; geometry; image colour analysis; image segmentation; object detection; YCbCr model; face location; geometry; human eye location; human face region extraction; image background; image processing; nonuniform illumination; pixel feature; Face; Face recognition; Humans; Image color analysis; Image segmentation; Lighting; Skin; YCbCr skin color model; detection and location of human eyes; face recognition; image segmentation;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6359349
