Analysis and Research of a Method of Improving the Accuracy of the Fundamental Matrix
Authors
Yongxiang Zhang, Tieying Mu, Weigong Zhang, Peiqiang Gu
Corresponding Author
Yongxiang Zhang
Available Online June 2015.
- DOI
- 10.2991/icecee-15.2015.273How to use a DOI?
- Keywords
- fundamental matrix; computer vision; SURF; wrong matching; image noise; RANSAC.
- Abstract
The fundamental matrix contains all of a camera’s inner and outer parameters. So estimating the fundamental matrix is an important issue in 3D reconstruction and even the whole field of computer vision. As for the accuracy, stability and universality in calculating the fundamental matrix, this paper gets the coordinates of matched points using SURF algorithm at first, then compares and analyses the results of the two factors affecting the estimation results, such as wrong matching and image noise. Experimental results show that using RANSAC algorithm to remove the wrong matching and the less-noise images can achieve higher accuracy of the fundamental matrix.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yongxiang Zhang AU - Tieying Mu AU - Weigong Zhang AU - Peiqiang Gu PY - 2015/06 DA - 2015/06 TI - Analysis and Research of a Method of Improving the Accuracy of the Fundamental Matrix BT - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics PB - Atlantis Press SP - 1458 EP - 1462 SN - 2352-538X UR - https://doi.org/10.2991/icecee-15.2015.273 DO - 10.2991/icecee-15.2015.273 ID - Zhang2015/06 ER -