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1 Skin Color Detection through Estimation and Conversion of Illuminant Color Under Various Illuminations IEEE Transactions on Consumer Electronics Authors:

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Presentation on theme: "1 Skin Color Detection through Estimation and Conversion of Illuminant Color Under Various Illuminations IEEE Transactions on Consumer Electronics Authors:"— Presentation transcript:

1 1 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

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

3 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 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 5 Skin color detection through estimation and conversion of illuminant color

6 6 A.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 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 8 Skin color detection through estimation and conversion of illuminant color Pupil has a low intensity the sclera has a high intensity

9 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 10 Skin color detection through estimation and conversion of illuminant color Finally estimated by averaging the values within the segmented sclera region

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

12 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 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 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 15 Experimental results and discussion

16 16 Experimental results and discussion

17 17 Experimental results and discussion

18 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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