A Minimum-Variance Adaptive Surface Mesh

Authors:
Richard C Wilson;Edwin R Hancock
Affiliations:
-;-
Venue:
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Year:
1997

Citing 0
Cited 2

Approximation and Processing of Intensity Images with Dicontinuity-Preserving Adaptive Triangular Meshes

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Terrain Reconstruction with an Adaptive Surface Mesh

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.