1 / 23

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

sundari
Download Presentation

Color Harmonization － ACM SIGGRAPH 2006

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related