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A stereo matching algorithm based on SIFT feature and homography matrix

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Abstract

Aiming at the low speed of traditional scale-invariant feature transform (SIFT) matching algorithm, an improved matching algorithm is proposed in this paper. Firstly, feature points are detected and the speed of feature points matching is improved by adding epipolar constraint; then according to the matching feature points, the homography matrix is obtained by the least square method; finally, according to the homography matrix, the points in the left image can be mapped into the right image, and if the distance between the mapping point and the matching point in the right image is smaller than the threshold value, the pair of matching points is retained, otherwise discarded. Experimental results show that with the improved matching algorithm, the matching time is reduced by 73.3% and the matching points are entirely correct. In addition, the improved method is robust to rotation and translation.

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Authors and Affiliations

  1. Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin Polytechnic University, Tianjin, 300387, China

    Zong-yan Li  (李宗艳), Li-mei Song  (宋丽梅), Qing-hua Guo  (郭庆华) & Xin-jun Zhu  (朱新军)

  2. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Keiraville, 2500, Australia

    Jiang-tao Xi  (习江涛), Qing-hua Guo  (郭庆华) & Ming-lei Chen  (陈明磊)

Authors
  1. Zong-yan Li  (李宗艳)
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  2. Li-mei Song  (宋丽梅)
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  3. Jiang-tao Xi  (习江涛)
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  4. Qing-hua Guo  (郭庆华)
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  5. Xin-jun Zhu  (朱新军)
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  6. Ming-lei Chen  (陈明磊)
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Corresponding author

Correspondence to Li-mei Song  (宋丽梅).

Additional information

This work has been supported by the National Natural Science Foundation of China (Nos.60808020 and 61078041), the National Science and Technology Support (No.2014BAH03F01), the Tianjin Research Program of Application Foundation and Advanced Technology (No.10JCYBJC07200), and the Technology Program of Tianjin Municipal Education Commission (No.20130324).

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Li, Zy., Song, Lm., Xi, Jt. et al. A stereo matching algorithm based on SIFT feature and homography matrix. Optoelectron. Lett. 11, 390–394 (2015). https://doi.org/10.1007/s11801-015-5146-3

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  • DOI: https://doi.org/10.1007/s11801-015-5146-3

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