Skin Color Modeling of Digital Photographic Images

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Assumption – Spread skin color around center of skin color • Variation in physical condition − Skin types, capturing conditions, etc. – Approximated distribution of skin color with Gaussian-like function Single Gaussian model – Formulated model by multivariate normal distribution function – Intolerable error in estimation • Using Gaussian mixture model Gaussian mixture model – Mixing finite number of Gaussian function – Complex to train and expensive term of computation 4/29
Methods of skin color detection – Combined RGB bands and near-infrared bands • Demonstrated result − Improving robustness over pure RGB − Generalized for skin color detection of multispectral image − Unfitting for general consumer imaging – Applied ellipse distribution function • Expressing skin colors for face detection – Using ellipse for modeling skin color cluster 5/29
Page 1 and 2: Skin Color Modeling of Digital Phot
Page 3: Color rendering - Important factor
Page 7 and 8: - Ellipse skin color modeling • I
Page 9 and 10: - Ellipsoid skin color modeling •
Page 11 and 12: Construction an image database to t
Page 13 and 14: - Segmentation method in the tool
Page 15 and 16: - Lightness-independent ellipse mod
Page 17 and 18: • Skin color center − Plotted C
Page 19 and 20: − Plotted length of trained semim
Page 21 and 22: - Ellipsoid skin color model • Mo
Page 23 and 24: - Skin color detection accuracy •
Page 25 and 26: • Comparison of Caucasian, Asian,
Page 27 and 28: - Skin color modeling with differen
Page 29: Results of skin color ellipses - Tr

Skin Color Modeling of Digital Photographic Images

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