Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

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
https://doi.org/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.
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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.273How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 2015 2nd 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  - https://doi.org/10.2991/icecee-15.2015.273
ID  - Zhang2015/06
ER  -