Modeling Group Meeting Skeleton Clone using Mean Value Coordinates By Draphix By Yen-Tuo Chang

OUTLINE The Goal Algorithm: “Mean Value Coordinates” Results

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

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

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

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

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

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

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

Mean Value Coordinates 2D Mean Value Coordinates

Mean Value Coordinates 3D Mean Value Coordinates

Mean Value Coordinates 3D Mean Value Coordinates

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

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

Mean Value Coordinates 3D Mean Value Coordinates

Result Original Source Model

Result Skeleton clone using previous method

Result Skeleton clone using MVC

Result Original Source Model

Result Skeleton clone using previous method

Result Skeleton clone using previous method

Result Skeleton clone using MVC

:D THANK YOU, FOR ALL YOUR ATTENTION !!