1. Modeling Group Meeting Skeleton Clone using Mean Value Coordinates 20050920 By Draphix By Yen-Tuo Chang 2005-09-20

2. OUTLINE The Goal Algorithm: “Mean Value Coordinates” Results

3. The Goal Skeleton Clone –In “Motion Retargeting”, three things will be transferred from the Source to the Target The Skeleton The Motion Data The Binding Weights

4. The Goal Skeleton Clone –In “Motion Retargeting”, three things will be transferred from the Source to the Target

5. The Goal Skeleton Clone –After doing the followings: Feature Specifications Partitioning and parameterization –The correspondence (i.e. the mapping relations) are constructed

6. The Goal Skeleton Clone –We need to transfer the bone-data (position of the joints) –The automatically-generated skeleton will then serve as the basis of transferred motion and binding weights

7. The Goal Skeleton Clone –We need to transfer the bone-data (position of the joints)

8. The Goal Skeleton Clone –The previously used method is not reasonable enough

9. The Goal So I decided to implement “Mean Value Coordinates for Closed Triangular Meshes” –SIGGRAPH 2005

10. Mean Value Coordinates 2D Mean Value Coordinates

11. Mean Value Coordinates 3D Mean Value Coordinates

12. Mean Value Coordinates 3D Mean Value Coordinates

13. Mean Value Coordinates 3D Mean Value Coordinates –Two major concerns: Stability

14. Mean Value Coordinates 3D Mean Value Coordinates –Two major concerns: Co-planar cases –When v lies “inside” triangle T, it converges to 2D barycentric coordinates

15. Mean Value Coordinates 3D Mean Value Coordinates

16. Result Original Source Model

17. Result Skeleton clone using previous method

18. Result Skeleton clone using MVC

19. Result Original Source Model

20. Result Skeleton clone using previous method

21. Result Skeleton clone using previous method

22. Result Skeleton clone using MVC

23. :D THANK YOU, FOR ALL YOUR ATTENTION !!