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Feature-Based Image Metamorphosis

Feature-Based Image Metamorphosis. Thaddeus Beier Shawn Neely SIGGRAPH 1992. Image Morphing History. Morphing is turning one image into another through a seamless transition Michael Jackson’s “Black or White” Cross-fading. cross-fading. warp. warp. morphing. Image morphing.

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Feature-Based Image Metamorphosis

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  1. Feature-Based Image Metamorphosis Thaddeus Beier Shawn Neely SIGGRAPH 1992

  2. Image Morphing History Morphingis turning one image into another through a seamless transition Michael Jackson’s “Black or White” Cross-fading

  3. cross-fading warp warp morphing Image morphing image #1 image #2

  4. Image morphing Morphing = warping + cross-dissolving color (photometric) shape (geometric) Warp = feature specification + warp generation

  5. Warp specification • How can we specify the warp? • Specify corresponding spline control points • interpolate to a complete warping function But we want to specify only a few points, not a grid

  6. Warp specification • How can we specify the warp? • Specify corresponding points • interpolate to a complete warping function • How do we do it?

  7. Warp specification • How can we specify the warp? • Specify corresponding vectors • interpolate to a complete warping function • The Beier & Neely Algorithm

  8. Two basic styles • Forward warping • Reverse mapping

  9. Single line-pair PQ to P’Q’

  10. Single Line-pair Examples

  11. Multiple Lines Length = length of the line segment, dist = distance to line segment a, p, b – constants. What do they do?

  12. Resulting warp (complex!)

  13. Full Algorithm

  14. Animation • Here's how you create an animated morph: • GenerateAnimation(Image0, L0[...],Image1, L1[...]) • begin • foreach intermediate frame time t do • for i=1 to number of line-pairs do • L[i] = line t-th of the way from L0[i] to L1[i]. • end • Warp0 = WarpImage( Image0, L0[...], L[...]) • Warp1 = WarpImage( Image1, L1[...], L[...]) • foreach pixel p in FinalImage do • FinalImage(p) = (1-t) Warp0(p) + t Warp1(p) • end • end • end

  15. Interpolating Lines • Method 1: interpolating endpoints • Method 2: interpolating midpoints, length and orientation.

  16. Results

  17. Dynamic Scene

  18. Algorithm summary

  19. Morphing & matting • Extract foreground first to avoid artifacts in the background

  20. Uniform morphing

  21. Non-uniform morphing

  22. Procedural Transformation

  23. Multi-source morphing

  24. Manipulating Facial Appearance through Shape and Color Duncan A. Rowland and David I. Perrett St Andrews University IEEE CG&A, September 1995

  25. The Morphable Face Model • shape vector S = (x1, y1, x2, …, yn)T • appearance (texture) vector T= (R1, G1, B1, R2, …, Gn, Bn)T Shape S Appearance T

  26. The Morphable face model • Assuming that we have m such vector pairs in full correspondence, we can form new shapes Smodel and new appearances Tmodel as: • If number of basis faces m is large enough to span the face subspace then: • Any new face can be represented as a pair of vectors

  27. Face averaging by morphing average faces • http://www.beautycheck.de

  28. Examples: Happy faces Young faces Asian faces Etc. Sunny days Rainy days Etc. Etc. Subpopulation means Average female Average male

  29. The average face

  30. Women In Arts http://www.youtube.com/watch?v=nUDIoN-_Hxs

  31. References • Thaddeus Beier, Shawn Neely, Feature-Based Image Metamorphosis, SIGGRAPH 1992, pp35-42. • Detlef Ruprecht, Heinrich Muller, Image Warping with Scattered Data Interpolation, IEEE Computer Graphics and Applications, March 1995, pp37-43. • Seung-Yong Lee, Kyung-Yong Chwa, Sung Yong Shin, Image Metamorphosis Using Snakes and Free-Form Deformations, SIGGRAPH 1995. • Seungyong Lee, Wolberg, G., Sung Yong Shin, Polymorph: morphing among multiple images, IEEE Computer Graphics and Applications, Vol. 18, No. 1, 1998, pp58-71. • Peinsheng Gao, Thomas Sederberg, A work minimization approach to image morphing, The Visual Computer, 1998, pp390-400. • George Wolberg, Image morphing: a survey, The Visual Computer, 1998, pp360-372.

  32. Overview of Morphing Methods • Mesh Warping • Field Morphing • Radial Basis Function • Energy minimization • Multilevel Free-Form Deformation • Work minimization Image Morphing: A Survey George Wolberg 1998

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