• Laser & Optoelectronics Progress
  • Vol. 57, Issue 10, 101104 (2020)
Qiongnan Yang**, Tianli Ma*, Congkun Yang, and Yan Wang
Author Affiliations
  • School of Electronic and Information Engineering, Xi'an Technological University, Xi'an, Shaanxi 710016, China
  • show less
    DOI: 10.3788/LOP57.101104 Cite this Article Set citation alerts
    Qiongnan Yang, Tianli Ma, Congkun Yang, Yan Wang. RANSAC Image Matching Algorithm Based on Optimized Sampling[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101104 Copy Citation Text show less
    References

    [1] Durrant-Whyte H, Bailey T. Simultaneous localization and mapping: part I[J]. IEEE Robotics & Automation Magazine, 13, 99-110(2006).

    [2] Xue M X, Peng H, Liu S R et al. Scene object recognition based on visual saliency[J]. Control Engineering of China, 23, 687-692(2016).

    [3] Wang S, Xu X. 3D reconstruction based on horopter[J]. Acta Optica Sinica, 37, 0515004(2017).

    [4] Muja M, Lowe D G. Fast approximate nearest neighbors with automatic algorithm configuration. [C]∥Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, February 5-8, 2009, Lisboa, Portugal. Setubal: SciTePress, 331-340(2009).

    [5] Bay H, Ess A, Tuytelaars T et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understanding, 110, 346-359(2008).

    [6] Sergieh H M, Egyed-Zsigmond E, Doller M et al. Improving SURF image matching using supervised learning. [C]∥Eighth International Conference on Signal Image Technology & Internet Based Systems,November 25-29, 2012, Sorrento, Naples, Italy. New York: IEEE, 230-237(2012).

    [7] Lan H, Wang Q L. Multi-angle SURF image matching algorithm based on cluster and Mahalanobis distance[J]. Computer Engineering and Applications, 52, 211-217(2016).

    [8] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 24, 381-395(1981).

    [9] Xu M. 6(4): -333[J]. Lu J. Distributed RANSAC for the robust estimation of three-dimensional reconstruction. IET Computer Vision(2012).

    [10] Wang K, Jia S M, Li X Z. Lmproved RANSAC algorithm based on total probability updating[J]. Control and Decision, 32, 427-434(2017).

    [11] Hossein-Nejad Z, Nasri M. An adaptive image registration method based on SIFT features and RANSAC transform[J]. Computers & Electrical Engineering, 62, 524-537(2017).

    [12] Jia S M, Zheng Z L, Guo L et al. An improved RANSAC algorithm for simultaneous localization and mapping[J]. Journal of Physics: Conference Series, 1069, 012170(2018).

    [13] E Rosten, T Drummond. Machine learning for high-speed corner detection. [C]∥European Conference on Computer Vision, May 7-13, 2006, Graz, Austria. New York: IEEE, 430-443(2006).

    [14] Xiong F G, Huo W, Han X et al. Removal method of mismatching keypoints in 3D point cloud[J]. Acta Optica Sinica, 38, 0210003(2018).

    [15] Lin S L, Zhu P, Qin S J. An improved weighted KNN algorithm for imbalanced data classification. [C]∥2018 IEEE 4th International Conference on Computer and Communications, December 7-10, 2018, Chengdu, Sichuan, China. New York: IEEE, 1814-1819(2018).

    [16] Chen F X, Wang R S. Fast RANSAC with preview model parameters evaluation[J]. Journal of Software, 16, 1431-1437(2005).

    [17] Boerner R, Remote Sensing, Spatial Information Sciences. XLI-, B5, 771-777(2016).

    Qiongnan Yang, Tianli Ma, Congkun Yang, Yan Wang. RANSAC Image Matching Algorithm Based on Optimized Sampling[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101104
    Download Citation