Comparative Analysis of Skin Color Based Models for Face Detection
نویسندگان
چکیده
Human face detection plays an important role in many applications such as face recognition , human computer interface, biometrics, area of energy conservation, video surveillance and face image database management. The selection of accurate color model is the first need of the face detection. In this paper, a study on the various color models for face detection i.e. RGB, YCbCr, HSV and CIELAB are included. This paper compares different color models based on the detection rate of skin regions. The results shows that YCbCr as compared to other color models yields the best output even in varying lightening conditions.
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