Skin Color Modeling of Digital Photographic Images

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Elliptical skin boundary model Elliptical boundary model T −1 ( ) [ ] [ ] Φ X = X −Ψ Λ X −Ψ where X is occurrence counts of color, Ψ is center of ellipse, Λ is principal axes, and Φ(X)< ρ is in ellipse as skin color. 1 1 n Ψ= ∑ X i n = n 1 Λ= ∑ fi( Xi −µ )( Xi −µ ) N i= 1 ∑ ∑ where N= f is total number of occurrences, µ = (1 / N) fX is i n n i= 1 i i= 1 i i mean of color vectors and f( X ) = f( i= 1, …, n) . i T (1) (2) (3) 6/29
– Ellipse skin color modeling • Ignoring the lightness coordinate • Two-dimensional chrominance space −1 • Represented Λ in matrix form λ00 λ −1 ⎛ 01 ⎞ Λ =⎜ ⎟ ⎝λ10 λ11 ⎠ • Elliptical boundary between skin and nonskin colors or Φ ( X) = λ ( x− x ) + ( λ + λ )( x−x )( y− y ) + λ ( y− y ) (5a) ( ) x 2 2 00 0 01 10 0 0 11 0 2 2 0 0 1 0 0 2 0 • Angle θ to rotate x − y coordinates to principal axes X Φ ( X) = u ( x− x ) + u ( x−x )( y− y ) + u ( y− y ) (5b) θ ⎛ 2λ ⎞ 01 = 0.5arctan ⎜ ⎟ − λ00 + λ11 ⎝ ⎠ = y (4) (6) 7/29
Page 1 and 2: Skin Color Modeling of Digital Phot
Page 3 and 4: Color rendering - Important factor
Page 5: Methods of skin color detection - C
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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