Title :
A robust skin color based face detection algorithm
Author :
Liu, Qiong ; Peng, Guang-zheng
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
For sophisticated background, a fast and self-adaptive face detection algorithm based on skin color is introduced. In this algorithm, histogram skin color model was built with great amount of skin color pixels in HS color space first, and then skin color segmentation was made to images by using histogram backprojection, in which a binary image of skin color area was obtained after thresholding. Morphological and Blob analysis were used to make further optimization to the segmentation result. Experimental results show that the proposed algorithm can detect faces with different sizes, rotations and expressions under different illumination conditions fast and accurately.
Keywords :
face recognition; image colour analysis; image segmentation; optimisation; HS color space; blob analysis; histogram backprojection; morphological analysis; robust skin color; self-adaptive face detection algorithm; skin color pixels; skin color segmentation; Face detection; Histograms; Humans; Image segmentation; Lighting; Robotics and automation; Robustness; Shape; Skin; Space technology; computer vision; face detection; histogram backprojection; skin color model; skin color segmentation;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456614