• Laser & Optoelectronics Progress
  • Vol. 55, Issue 5, 051007 (2018)
Shu Chen, Tian Yang*; , and Shunyuan Sun
Author Affiliations
  • School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    DOI: 10.3788/LOP55.051007 Cite this Article Set citation alerts
    Shu Chen, Tian Yang, Shunyuan Sun. Feature Point Matching Algorithm for Fusion of Color Invariants and SURB Detection[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051007 Copy Citation Text show less
    References

    [1] Chen S, Wu C D, Yu X S et al. Fast scene recognition based on saliency region and SURF[C]. International Conference on Intelligent Control and Information Processing, IEEE, 863-866(2011).

    [2] Abiantun R, Prabhu U, Savvides M. Sparse feature extraction for pose-tolerant face recognition[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 36, 2061-2073(2014). http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2313124

    [3] Liu R, Wang D J, Jia P et al. Point target detection based on omnidirectional morphology filtering and local characteristic criterion[J]. Acta Optica Sinica, 37, 1104001(2017).

    [4] He F Y, Zhao W. Image registration of synthetic aperture radar including body of water[J]. Acta Optica Sinica, 37, 0928001(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] Bay H, Ess A, Tuytelaars T et al. Speeded-up robust features[J]. Computer Vision & Image Understanding, 110, 346-359(2008).

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

    [8] Huang L, Chen C, Shen H et al. Adaptive registration algorithm of color images based on SURF[J]. Measurement, 66, 118-124(2015). http://www.sciencedirect.com/science/article/pii/S0263224115000299

    [9] Jing J F, Xie J, Li P F. Application of SURB combined with random sample consensus algorithm in shoe uppers matching[J]. Laser & Optoelectronics Progress, 55, 011005(2018).

    [10] Zhou K T, Zheng L X. Multi-attitude face recognition based on improved ORB feature[J]. Journal of Computer-Aided Design & Computer Graphics, 27, 287-295(2015).

    [11] Liu W, Zhao W J, Li D J et al. Feature points matching algorithm based on ORB detection[J]. Laser and Infrared, 45, 1380-1384(2015).

    [12] Xing K S, Ling Y Z, Chen M Y. Mismatching points elimination algorithm for ORB feature matching[J]. Journal of Electronic Measurement and Instrumentation, 30, 1255-1262(2016).

    [13] Wu P C, Wang Z Y, Liu T[J]. Color SIFT matching algorithm under changing complex illumination Journal of Huazhong University of Science and Technology (Natural Science Edition), 2011, 100-104.

    [14] Gevers T, Snoek C. Evaluation of color descriptors for object and scene recognition[C]. IEEE Conference on Computer Vision & Pattern Recognition, 1-8(2008).

    [15] Xu M, Lu J. Distributed RANSAC for the robust estimation of three-dimensional reconstruction[J]. IET Computer Vision, 6, 324-333(2012). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6298761

    [16] 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

    Shu Chen, Tian Yang, Shunyuan Sun. Feature Point Matching Algorithm for Fusion of Color Invariants and SURB Detection[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051007
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