Self-correction of 3D reconstruction from multi-view stereo images

Ju, X., Siebert, J.P. , Khambay, B.S. and Ayoub, A.F. (2009) Self-correction of 3D reconstruction from multi-view stereo images. In: IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), Kyoto, Japan, 27 Sept - 4 Oct 2009, pp. 1606-1613. (doi: 10.1109/ICCVW.2009.5457422)

[img]
Preview
Text
40088.pdf

2MB

Publisher's URL: http://dx.doi.org/10.1109/ICCVW.2009.5457422

Abstract

We present a self-correction approach to improving the 3D reconstruction of a multi-view 3D photogrammetry system. The self-correction approach has been able to repair the reconstructed 3D surface damaged by depth discontinuities. Due to self-occlusion, multi-view range images have to be acquired and integrated into a watertight nonredundant mesh model in order to cover the extended surface of an imaged object. The integrated surface often suffers from “dent” artifacts produced by depth discontinuities in the multi-view range images. In this paper we propose a novel approach to correcting the 3D integrated surface such that the dent artifacts can be repaired automatically. We show examples of 3D reconstruction to demonstrate the improvement that can be achieved by the self-correction approach. This self-correction approach can be extended to integrate range images obtained from alternative range capture devices.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ayoub, Professor Ashraf and Siebert, Dr Paul and Ju, Dr Xiangyang and Khambay, Dr Balvinder
Authors: Ju, X., Siebert, J.P., Khambay, B.S., and Ayoub, A.F.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Dental School
College of Science and Engineering > School of Computing Science
Research Group:BARC
Copyright Holders:Copyright © 2009 IEEE
First Published:First published in Proceedings of IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops)
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

University Staff: Request a correction | Enlighten Editors: Update this record