• Laser & Optoelectronics Progress
  • Vol. 56, Issue 1, 011006 (2019)
Jia Li, Ping Duan*, Yongxiang Yao, and Feng Cheng
Author Affiliations
  • College of Tourism and Geographical Sciences, Yunnan Normal University, Kunming, Yunnan 650500, China
  • show less
    DOI: 10.3788/LOP56.011006 Cite this Article Set citation alerts
    Jia Li, Ping Duan, Yongxiang Yao, Feng Cheng. Image Registration Method Based on Accelerated Segmentation Feature Optimization[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011006 Copy Citation Text show less
    References

    [1] Wang C J, Sun T, Wang R et al. Color image registration based on colored binary local invariant descriptor[J]. Chinese Journal of Lasers, 42, 0109001(2015).

    [2] Yang S, Xia M H, Zheng Z S. Medical image registration algorithm based on polynomial deterministic matrix and SIFT transform[J]. Laser & Optoelectronics Progress, 53, 081002(2016).

    [3] Yang S, Yang C L. Image registration algorithm based on sparse random projection and scale-invariant feature transform[J]. Acta Optica Sinica, 34, 1110001(2014).

    [4] Dong Q, Liu J H, Wang C et al. Image mosaic algorithm based on improved BRISK[J]. Journal of Electronics & Information Technology, 39, 444-450(2017).

    [5] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004). http://doi.ieeecomputersociety.org/resolve?ref_id=doi:10.1023/B:VISI.0000029664.99615.94&rfr_id=trans/tp/2008/10/ttp2008101683.htm

    [6] Ke Y, Sukthankar R. PCA-SIFT: a more distinctive representation for local image descriptors. [C]∥Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition(2004).

    [7] Bay H, Ess A, Tuytelaars T et al. Speeded-up robust features(SURF)[J]. Computer Vision and Image Understanding, 110, 346-359(2008). http://dl.acm.org/citation.cfm?id=1370556

    [8] Calonder M, Lepetit V, Strecha C et al. BRIEF: binary robust independent elementary features. [C]∥Proceedings of the 11 th European Conference on Computer Vision , 778-792(2010).

    [9] Rublee E, Rabaud V, Konolige K et al. ORB: an efficient alternative to SIFT or SURF. [C]∥Proceedings of 2011 International Conference on Computer Vision, 2564-2571(2011).

    [10] Leutenegger S, Chli M, Siegwart R Y. BRISK: binary robust invariant scalable keypoints. [C]∥Proceedings of 2011 International Conference on Computer Vision, 2548-2555(2011).

    [11] Alahi A, Ortiz R, Vandergheynst P. FREAK: fast retina keypoint. [C]∥Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition, 510-517(2012).

    [12] Rosten E, Drummond T. Machine learning for high-speed corner detection. [C]∥Proceedings of 9 th European Conference on Computer Vision , 430-443(2006).

    [13] Harris C G. 15∶50[C]. Stephens M J. A combined corner, edge detector∥Proceedings of the 4 th Alvey Vision Conference(1998).

    [14] Sattler T, Leibe B, Kobbelt L. Efficient & effective prioritized matching for large-scale image-based localization[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 39, 1744-1756(2017).

    [15] 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). http://www.sciencedirect.com/science/article/pii/S004579061630917X

    [16] Zou P P, Zhang Z L, Wang P et al. Binocular camera calibration based on collinear vector and plane homography[J]. Acta Optica Sinica, 37, 1115006(2017).

    [17] Nguyen T, Chen S W, Shivakumar S S et al. Unsupervised deep homography: a fast and robust homography estimation model[J]. IEEE Robotics and Automation Letters, 3, 2346-2353(2018). http://ieeexplore.ieee.org/document/8302515/

    Jia Li, Ping Duan, Yongxiang Yao, Feng Cheng. Image Registration Method Based on Accelerated Segmentation Feature Optimization[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011006
    Download Citation