47
Views
0
CrossRef citations to date
0
Altmetric
Original Article

Globally optimal estimate for variational surface reconstruction

, &
Pages 97-102 | Accepted 24 Feb 2011, Published online: 12 Nov 2013
 

Abstract

In this article, we tackle the problem of using globally optimal estimate for variational surface reconstruction. We give an overview of globally optimal method on variational surface when the three-dimensional (3D) surface is represented by a point-based surface and a triangular mesh-based surface, and we detail the variational surface used on surface reconstruction. It can be applied to derive a range of meaningful surface reconstructions from this high dimensional space. We show that using a progression of spatially varying anisotropic weights can achieve significant improvements in surface reconstruction. Simulated surfaces and real model are experimentally studied, and the results validate that the proposed approaches improved the reconstruction. The proposed method improved the reconstruction results significantly for the simulated and real data.

This research work is supported by the National Natural Science Foundation of China (nos. 60873130 and 60872115), the Shanghai’s Key Discipline Development Program (no. J50104) and the Shanghai University’s Graduate Student Innovative Fund (no. SHUCX101089).

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.