A Real-time Stitching Algorithm for UAV Aerial Images
Authors
Peng Xiong, Xianpeng Liu, Chao Gao, Zan Zhou, Chunxiao Gao, Qiongxin Liu
Corresponding Author
Peng Xiong
Available Online March 2013.
- DOI
- 10.2991/iccsee.2013.405How to use a DOI?
- Keywords
- real-time stitching, predicted region, UAV, aerial image
- Abstract
Real-time stitching is a research focus of UAV area. The speed and accuracy of stitching algorithm are both important for commanders to make right decisions in battlefield. In this paper, a real-time UAV aerial image stitching algorithm based on predicted region matching is proposed. A new matching strategy is applied to the feature matching step. The transformation matrix will be calculated by the matches between features in current image and features in a predicted region. Experimental results show that, comparing with traditional method, the new algorithm can reduce much stitching errors while keeping the process time almost the same.
- Copyright
- © 2013, 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 - Peng Xiong AU - Xianpeng Liu AU - Chao Gao AU - Zan Zhou AU - Chunxiao Gao AU - Qiongxin Liu PY - 2013/03 DA - 2013/03 TI - A Real-time Stitching Algorithm for UAV Aerial Images BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 1613 EP - 1616 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.405 DO - 10.2991/iccsee.2013.405 ID - Xiong2013/03 ER -