Skip to main content
DORAS
DCU Online Research Access Service
Login (DCU Staff Only)
Projective rectification from the fundamental matrix

Mallon, John and Whelan, Paul F. ORCID: 0000-0001-9230-7656 (2005) Projective rectification from the fundamental matrix. Image and Vision Computing, 23 (7). pp. 643-650. ISSN 0262-8856

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB

Abstract

This paper describes a direct, self-contained method for planar image rectification of stereo pairs. The method is based solely on an examination of the Fundamental matrix, where an improved method is given for the derivation of two projective transformations that horizontally align all the epipolar projections. A novel approach is proposed to uniquely optimise each transform in order to minimise perspective distortions. This ensures the rectified images resemble the original images as closely as possible. Detailed results show that the rectification precision exactly matches the estimation error of the Fundamental matrix. In tests the remaining perspective distortion offers on average less than one percent viewpoint distortion. Both these factors offer superior robustness and performance compared with existing techniques.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:image analysis; projective rectification; homography; fundamental matrix; distortion minimisation; stereo vision;
Subjects:UNSPECIFIED
DCU Faculties and Centres:Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Publisher:Elsevier
Official URL:http://dx.doi.org/10.1016/j.imavis.2005.03.002
Copyright Information:Copyright © 2005 Elsevier B.V.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:4662
Deposited On:03 Jul 2009 08:42 by DORAS Administrator . Last Modified 16 Jan 2019 12:47

Downloads

Downloads per month over past year

Archive Staff Only: edit this record

Altmetric
- Altmetric
+ Altmetric
  • Student Email
  • Staff Email
  • Student Apps
  • Staff Apps
  • Loop
  • Disclaimer
  • Privacy
  • Contact Us