Application of SURB Combined with Random Sample Consensus Algorithm in Shoe Uppers Matching

Jing Junfeng; Xie Jia; Li Pengfei

doi:10.3788/LOP55.011005

[1] Hao G W. The design of intelligent control strategy for shoemaking assembly process based on robot[D]. Dalian: Dalian University of Technology, 1-5(2014).

[2] Zhang K Y, Liang F M. Research on the key algorithm for image matching based on improved SURF[J]. Science Technology and Engineering, 13, 2875-2879(2013).

[3] Sinha S N, Frahm J M, Pollefeys M et al. Feature tracking and matching in video using programmable graphics hardware[J]. Machine Vision and Applications, 22, 207-217(2011). http://dl.acm.org/citation.cfm?id=1924384

[4] 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

[5] Bay H, Ess A, Tuytelaars T et al. Speeded-up robust features(SURF)[J]. Computer Vision and Image Understanding, 110, 346-359(2008). http://www.sciencedirect.com/science/article/pii/S1077314207001555

[6] Zhang H J, Li G H, Liu C et al. Reliable initial guess based on SURF feature matching in digital image correlation[J]. Acta Optica Sinica, 33, 1112005(2013).

[7] Rublee E, Rabaud V, Konolige K et al. ORB: An efficient alternative to SIFT or SURF[J]. Proceedings of the IEEE International Conference on Computer Vision, 2564-2571(2011). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6126544

[8] Xu H K, Qin Y Y, Chen H R. Feature points matching in images based on improved ORB[J]. Science Technology and Engineering, 14, 105-109, 128(2014).

[9] Li X H, Xie C M, Jia Y Z et al. Rapid moving object detection algorithm based on ORB features[J]. Journal of Electronic Measurement and Instrument, 27, 455-460(2013).

[10] Ren J, Zhou Y, Yu Y et al. Real-time augmented reality based on ORB[J]. Application Research of Computers, 29, 3594-3596(2012).

[11] Zhang Y S, Zou Z R. Automatic registration method for remote sensing images based on improved ORB algorithm[J]. Remote Sensing For Land and Resources, 25, 20-24(2013).

[12] Dai X M, Lang L, Chen M Y. Research of image feature point matching based on improved ORB algorithm[J]. Journal of Electronic Measurement and Instrument, 30, 233-240(2016).

[13] Zeng S C, Guo T L, Lin Z X. High speed image registration algorithm based on ORB and corner angle constraint[J]. Video Engineering, 39, 75-79(2015).

[14] Zhu Q G, Zhang P Z, Li H L et al. Investigation on the image matching algorithm based on global and local feature fusion[J]. Chinese Journal of Scientific Instrument, 37, 170-176(2016).

[15] Tian W, Wang H Y, Xu F et al. Enhanced RANSAC with adaptive pre-verification[J]. Journal of Image and Graphics, 14, 973-977(2009).

[16] Lei Y Z, Li Z W, Zhong K et al. Mismatching marked points correction method based on random sample consensus algorithm[J]. Acta Optica Sinica, 33, 0315002(2013).

[17] She J G, Xu R T, Chen N. Image stitching technology based on ORB and improved RANSAC algorithm[J]. Journal of Jiangsu University of Science and Technology (Natural Science Edition), 29, 164-169(2015).

[18] Xu X, Sun S Y, Sha Y J et al. A method of infrared image mosaic based on improved RANSAC[J]. Laser & Optoelectronics Progress, 51, 111001(2014).