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IEEE Transactions on Consumer Electronics Authors: Hyun-Chul Do, Ju-Yeon You, and Sung-Il Chien

Skin Color Detection through Estimation and Conversion of Illuminant Color Under Various Illuminations. IEEE Transactions on Consumer Electronics Authors: Hyun-Chul Do, Ju-Yeon You, and Sung-Il Chien Speaker: 吳昱慧 Date:2010/03/23. Outline. Introduction

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IEEE Transactions on Consumer Electronics Authors: Hyun-Chul Do, Ju-Yeon You, and Sung-Il Chien

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  1. Skin Color Detection through Estimation and Conversionof Illuminant Color Under Various Illuminations IEEE Transactions on Consumer Electronics Authors: Hyun-Chul Do, Ju-Yeon You, and Sung-Il Chien Speaker:吳昱慧 Date:2010/03/23

  2. Outline • Introduction • Skin color detection through estimation and conversion of illuminant color • Experimental results and discussion • Conclusion

  3. Introduction • Size invariant and facilitates • Skin color in image applications • Image content filtering • Content-aware video compression • HSV color space is closer to the humen perception

  4. Introduction • Uses a static model in image under various illumination conditions • Robust skin color detection considering the illumination conditions • Can then be detected using the skin locus and adaptive histogram backprojection • For more effective estimation of the illuminant color

  5. Skin color detection through estimation and conversion of illuminant color

  6. Skin color detection through estimation and conversion of illuminant color • Illuminant color estimation using sclera • The eye detection is performed for segmenting the sclera region in an image • Traditional eye dection methods can be classified into three categories • Template-based methods • Appearance-based methods • Feature-based methods

  7. Skin color detection through estimation and conversion of illuminant color • Eye detection in a complex image is very difficult • Eye detection can be simply and efficiently implemented for frontal face images • Edge-based template matching and knowledge-based rules

  8. Skin color detection through estimation and conversion of illuminant color • Pupil has a low intensity the sclera has a high intensity

  9. Skin color detection through estimation and conversion of illuminant color • Candidates are selected using the eye template and the edge of the input image • Is carried out in the frequency domain via FFT

  10. Skin color detection through estimation and conversion of illuminant color • Finally estimated by averaging the values within the segmented sclera region

  11. Skin color detection through estimation and conversion of illuminant color • Skin color detection through illuminant color conversion

  12. Skin color detection through estimation and conversion of illuminant color • Assumed that the estimated and target luminance values remain the same﹐that is﹐

  13. Skin color detection through estimation and conversion of illuminant color • Hue(H) ﹕spectral composition • Saturation(S) ﹕refer to the purity • Value(V) ﹕brightness

  14. Experimental results and discussion • Four types of illumination • Horizon sunlight (incandescent, 2300K; marked “H”) • Incandescent A (CIE A, 2856K; marked “A”) • Fluorescent TL84 (4000K; marked “T”) • Daylight source (CIE D65, 6500K; marked “D”)

  15. Experimental results and discussion

  16. Experimental results and discussion

  17. Experimental results and discussion

  18. Conclusion • Estimated using the pixels of the sclera region that are segmented from the eyes in face images • Face detection and skin color enhancement even under changing illumination

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