Grid Motion Statistics Fast Matching Algorithm for Rotating Images

Lu Fu; Yanguo Fan; Guosheng Li; Dingfeng Yu; Jianglong Chai

doi:10.3788/LOP202158.1210005

[1] 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

[2] 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

[3] Rublee E, Rabaud V, Konolige K et al. ORB: an efficient alternative to SIFT or SURF[C]. //2011 International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain, 2564-2571(2011).

[4] Fischler M A, Bolles R C. Random sample consensus[J]. Communications of the ACM, 24, 381-395(1981).

[5] Wang R D, Li H, Zhao K et al. Robust localization based on kernel density estimation in dynamic diverse city scenes using lidar[J]. Acta Optica Sinica, 39, 0528003(2019).

[6] Wang P, Zhu R Z, Sun C K. Point cloud coarse registration algorithm with scene classification based on improved RANSAC[J]. Laser & Optoelectronics Progress, 57, 041510(2020).

[7] Yang Q N, Ma T L, Yang C K et al. RANSAC image matching algorithm based on optimized sampling[J]. Laser & Optoelectronics Progress, 57, 101104(2020).

[8] Lin W Y D, Cheng M M, Lu J B et al. Bilateral functions for global motion modeling[M]. //Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science, 8692, 341-356(2014).

[9] Pizarro D, Bartoli A. Feature-based deformable surface detection with self-occlusion reasoning[J]. International Journal of Computer Vision, 97, 54-70(2012).

[10] Lin W Y, Liu S Y, Jiang N J et al. RepMatch: robust feature matching and pose for reconstructing modern cities[M]. //Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9905, 562-579(2016).

[11] Lipman Y, Yagev S, Poranne R et al. Feature matching with bounded distortion[J]. ACM Transactions on Graphics, 33, 26(2014). http://smartsearch.nstl.gov.cn/paper_detail.html?id=33721079e447a577fec83cad9070b197

[12] Wang C, Wang L, Liu L Q. Density maximization for improving graph matching with its applications[J]. IEEE Transactions on Image Processing, 24, 2110-2123(2015).

[13] Maier J, Humenberger M, Murschitz M et al. Guided matching based on statistical optical flow for fast and robust correspondence analysis[M]. //Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9911, 101-117(2016).

[14] Bian J W, Lin W Y, Matsushita Y et al. GMS: grid-based motion statistics for fast, ultra-robust feature correspondence[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA, 2828-2837(2017).

[15] Bian J W, Lin W Y, Liu Y et al. GMS: grid-based motion statistics for fast, ultra-robust feature correspondence[J]. International Journal of Computer Vision, 128, 1580-1593(2020).

[16] Zhu C D, Li Z W, Wang K et al. Image matching algorithm based on improved RANSAC-GMS[J]. Journal of Computer Applications, 39, 2396-2401(2019).

[17] Chen F J, Han J, Wang Z W et al. Image registration algorithm based on improved GMS and weighted projection transformation[J]. Laser & Optoelectronics Progress, 55, 111006(2018).

[18] Jia Q H, Zhou Z F, Wang L D. Image registration algorithm for optimizing grid motion statistics[J]. Laser & Optoelectronics Progress, 57, 121014(2020).

[19] Rosten E, Drummond T. Machine learning for high-speed corner detection[M]. //Leonardis A, Bischof H, Pinz A. Computer vision-ECCV 2006. Lecture notes in computer science, 3951, 430-443(2006).

[20] Calonder M, Lepetit V, Strecha C et al. BRIEF: binary robust independent elementary features[C]. //Daniilidis K, Maragos P, Paragios N. Computer vision-ECCV 2010. Lecture notes in computer science, 6314, 778-792(2010).

[21] Wang C H, Xu D, Sun J. A BF fast matching algorithm structure to reduce false positive rate[C]. //Proceedings of 2010 National Communication Security Academic Conference. [S.l.: s.n.](2010).