An innovative approach to automatically identify control point set for model deformation rectification

Abstract

Rectifying 3D model deformation based on control point set is one of the most important problems frequently applied in virtual reality fields, in which control point set is the key for implementing deformed manipulation. This paper presents a technique to automatically identify control point set by analyzing the changes of each point in a 3D model through its variations, then gathering clusters and selecting important points to become a control point set. Our proposed approach was tested and proved to be effective in our practical experiments with a deforming technique based on the interpolation of the radial basis function.

An algorithm for decomposing variations of 3D model

“…Many techniques have been proposed, mainly divided into 3 groups: a. The first group is called the free-form approach [1]- [4] the methods in this group use voxel grids of the volume enclosing the surface as the control point and define a smooth, strain function that interpolates the weights from the points control to the vertices of the mesh. b.…”