Novel Method on Features Tracking for Multi-image Matching

Authors

Kaikai Jia, Information Engineering University, Zhengzhou 450000, China;
Zhenjie Zhang, Information Engineering University, Zhengzhou 450000, China;
Xiangyang Hao, Information Engineering University, Zhengzhou 450000, China;

Abstract

Abstract: Considering the slow motion between adjacent frames in image sequence, optical flow can be applied on image matching. A novel method for multi-image matching based on features tracking was proposed. The algorithm tracked features between adjacent frames, combining with matching strategy and FB Error, to achieve fast and accurate matching. Multi-image matching was finished by tracking features between image sequence. The experimental results show that the novel algorithm improves the efficiency and ensure the accuracy.

Recommended Citation

Jia, Kaikai; Zhang, Zhenjie; and Hao, Xiangyang (2020) "Novel Method on Features Tracking for Multi-image Matching," Journal of System Simulation: Vol. 29: Iss. 5, Article 29.
DOI: 10.16182/j.issn1004731x.joss.201705029
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss5/29

First Page

1147

Revised Date

2015-07-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201705029

Last Page

1152

CLC

TP277

Recommended Citation

Jia Kaikai, Zhang Zhenjie, Hao Xiangyang. Novel Method on Features Tracking for Multi-image Matching[J]. Journal of System Simulation, 2017, 29(5): 1147-1152.

DOI

10.16182/j.issn1004731x.joss.201705029