Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)
June 17, 1997 to June 19, 1997
Richard C Wilson , University of York
Edwin R Hancock , University of York
Our main contribution in this paper is to describe a new class of the adaptive mesh. The mesh uses both split and merge operations to adapt itself to the structure of volumetric data-points. The adaptive behavior is controlled by the variance of the data-point positions about maximum-likelihood quadric patches. We show that the density of control points on the mesh is regulated by the curvature of the underlying surface. Finally, we illustrate the effectiveness of the method on both real-world and simulated data-sets.
Surface, Deformable model, active mesh.
E. R. Hancock and R. C. Wilson, "A Minimum-Variance Adaptive Surface Mesh," Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR), Puerto Rico, 1997, pp. 634.