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Comparison between ycbcr color space and cielab color space for skin color segmentation.
| Content Provider | CiteSeerX |
|---|---|
| Author | Kaur, Amanpreet Kranthi, B. V. |
| Abstract | Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation under varying lighting conditions. Experimental results show that CIELab color space is better than other color space. It can improve the performance of face segmentation under poor or strong lighting conditions. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Cielab Color Space Skin Color Segmentation Ycbcr Color Space Skin Color Color Space Face Detection Powerful Pixel Efficient Method Experimental Result Useful Mean Human Face Detection Lighting Condition Face Segmentation Hand Detection Strong Lighting Condition Sturdy Cue Color Space Ycbcr |
| Content Type | Text |
