Advanced

Mesh Types for Curvature Regularization

Strandmark, Petter LU and Kahl, Fredrik LU (2011) Swedish Symposium on Image Analysis (SSBA) 2011
Abstract
Length and area regularization are commonplace for inverse problems today. It has however turned out to be much more difficult to incorporate a curvature prior. In this paper we propose two improvements to a recently proposed framework based on global optimization. The mesh geometry is analyzed both from a theoretical and experimental viewpoint and hexagonal meshes are shown to be superior. Our second contribution is that we generalize the framework to handle mean curvature regularization for 3D surface completion and segmentation.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
unpublished
subject
conference name
Swedish Symposium on Image Analysis (SSBA) 2011
language
English
LU publication?
yes
id
317969cf-a6a7-4acc-a344-7e7f910d6a46 (old id 1966795)
date added to LUP
2011-06-01 11:40:47
date last changed
2016-04-16 12:35:01
@misc{317969cf-a6a7-4acc-a344-7e7f910d6a46,
  abstract     = {Length and area regularization are commonplace for inverse problems today. It has however turned out to be much more difficult to incorporate a curvature prior. In this paper we propose two improvements to a recently proposed framework based on global optimization. The mesh geometry is analyzed both from a theoretical and experimental viewpoint and hexagonal meshes are shown to be superior. Our second contribution is that we generalize the framework to handle mean curvature regularization for 3D surface completion and segmentation.},
  author       = {Strandmark, Petter and Kahl, Fredrik},
  language     = {eng},
  title        = {Mesh Types for Curvature Regularization},
  year         = {2011},
}