Journal of System Simulation ›› 2017, Vol. 29 ›› Issue (5): 1147-1152.doi: 10.16182/j.issn1004731x.joss.201705029

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Novel Method on Features Tracking for Multi-image Matching

Jia Kaikai, Zhang Zhenjie, Hao Xiangyang   

  1. Information Engineering University, Zhengzhou 450000, China
  • Received:2015-04-28 Revised:2015-07-07 Online:2017-05-08 Published:2020-06-03

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.

Key words: optical flow, features tracking, multi-image matching, FB Error

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