Title :
Face detection method using template feature and skin color feature in rgb color space
Author :
Zhu Youlian ; Huang Cheng ; Zhai Kun ; Pan Lingjiao
Author_Institution :
Sch. of Electr. & Inf. Eng., Jiangsu Univ. of Technol., Changzhou, China
Abstract :
To detect the color face within a complex background, the paper introduced a face detection method using the skin color feature, the hole feature and the template feature. Firstly, the skin color model has been built in the rgb space, and skin color regions are preliminarily segmented according to the skin color feature; then, the hole feature has been used to realize screening of facial regions; finally, facial regions are matched with facial templates to realize face detection. Experimental results using MATLAB show that the method has good detection effect for images that contain one face or more faces. Thus, it has broad application prospects.
Keywords :
face recognition; feature extraction; image colour analysis; image matching; image segmentation; object detection; MATLAB; RGB color space; color face detection; complex background; face detection method; facial region matching; facial region screening; facial template; hole feature; skin color feature; skin color model; skin color region segmentation; template feature; Brightness; Colored noise; Face; Face detection; Feature extraction; Image color analysis; Skin; Face detection; Hole Feature; Skin Color Model; Template Feature;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161913