1 / 17

AIP Final Project

AIP Final Project. Study and Implementation of Feature-aware Texturing 921509 陸可凡 922047 陳彥銘. Outline. Introduction Process Flow Algorithm Transformations Detail algorithm flow Feature-aware mapping Result Conclusion. Introduction. Ran Gal, Olga Sorkine and Daniel Cohen-Or,

hisano
Download Presentation

AIP Final Project

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. AIP Final Project Study and Implementation of Feature-aware Texturing 921509 陸可凡 922047 陳彥銘

  2. Outline • Introduction • Process Flow • Algorithm • Transformations • Detail algorithm flow • Feature-aware mapping • Result • Conclusion

  3. Introduction • Ran Gal, Olga Sorkine and Daniel Cohen-Or, "Feature-aware texturing", EGSR 2006. • Original image mapping and manipulation techniques treat the entire texture image homogeneously.

  4. Introduction (cont.) • This paper present an inhomogeneous 2D texture mapping method. The method is capable of preserving the shape of masked regions of the texture while warping the image according to the user specifications.

  5. Introduction (cont.)

  6. Given Original Image Produce Feature Map in Binary (with user specifications) Feature-aware Mapping (with given warping function) Output Result Image Process Flow

  7. Algorithm - Transformations • There are two types of transformation for each quad • Warping transformation • Scaling • Rotation • …etc • Rigid transformation • preserve the size of a feature

  8. For each quad Is Feature Rigid transformation Warping transformation Compute the matrix A and b Get the warped quads Interpolate the quads Algorithm - Detail algorithm flow NO YES

  9. Algorithm - Feature-aware mapping Image Quad

  10. Algorithm - Feature-aware mapping

  11. Algorithm - Feature-aware mapping MxN Nx1 Mx1 a11 ‧‧‧ a1N x1 bx1 . . . . . . ‧ ‧ ‧ ＝ aM1 ‧‧‧ aMN xN bxM Ａ x b ＝

  12. Result - Painted Image Hx4,Wx4

  13. Result - Painted Image (cont.) Wx4

  14. Result - Painted Image (cont.) Hx4

  15. Result– Nature Image with Regular Background Hx2,Wx2

  16. Result– Nature Image with Irregular Background Hx2,Wx2

  17. Conclusion

More Related