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Color Harmonization - ACM SIGGRAPH 2006

Color Harmonization - ACM SIGGRAPH 2006. Speaker :李沃若. Authors. Daniel Cohen-Or Tel-Aviv University Volume graphics Visualization of large environments Shape modeling Image and surface manipulation. Authors. Olga Sorkine Tel-Aviv University

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Color Harmonization - ACM SIGGRAPH 2006

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  1. Color Harmonization-ACM SIGGRAPH 2006 Speaker:李沃若

  2. Authors • Daniel Cohen-Or • Tel-Aviv University • Volume graphics • Visualization of large environments • Shape modeling • Image and surface manipulation

  3. Authors • Olga Sorkine • Tel-Aviv University • Student of Daniel Cohen-Or • Computer Graphics • Ran Gal

  4. Authors • Ran Gal • Tel-Aviv University • Student of Daniel Cohen-Or • Computer Graphics and Vision • Work for Microsoft Corporation on the new XBOX 360

  5. Authors • Ying-Qing Xu • Visual Computing Group, Microsoft Research Asia • Learning based digital facial cartoon generation • Computer animation

  6. Relative Paper • Understanding Color. [Holtzschue 2002] • Color design support system considering color harmony. [Tokumaru et al. 2002] • Color Index: Over 1,100 Color Combinations, CMYK and RGB Formulas, for Print and Web Media. [Krause 2002]

  7. Introduction • Harmonic colors are sets of colors that are aesthetically pleasing in terms of human visual perception. • Finds the best harmonic scheme for the image colors.

  8. Color Wheel • Describe the color distribution • Use HSV color space • H:0~360(hue) • S:0~1 (saturation) • V:0~1 (value)

  9. Harmonic templates • Sum up from experience

  10. Some natural images

  11. Different representation

  12. Harmonic Schemes • Fit a harmonic template T to the hue histogram of the image. • Determine color shift direction. • Shift of color.

  13. Fit a template • Fine αand a template that minimize the function: Template Orientation The least distant of hue between point and template Saturation of p

  14. Color shift • C(p) : the central hue of the sector associated with pixel p • w : the arc-width of the template sector • :normalized Gaussian function

  15. Problem • “splitting” of a contiguous region of the image

  16. Add Region Segmentation • Fine the optimal label assignment minimizes the energy: Pixel’s label Hue distant to assign edge color coherence between neighboring pixels assigned to the same label.

  17. Min-cut / max-flow Function can be turned into min-cut/max-flow problem. Energies turn into the cost of road. Details see [Boykov and Jolly 2001].

  18. Better result

  19. Other results

  20. Other results

  21. Other results

  22. References • BOYKOV, Y., AND JOLLY, M.-P. 2001. Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images. In Proceedings of ICCV, 105–112. • COLOR WHEEL EXPERT, 2000. http://www.abitom.com/. • MOROVIC, J., AND LUO, M. R. 2001. The fundamentals of gamut mapping: A survey. Journal of Imaging Science and Technology 45, 3, 283–290. • PRESS, W. H., TEUKOLSKY, S. A., VETTERLING, W. T., AND FLANNERY, B. P. 1992. Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press, New York, NY, USA.

  23. End

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