[1] Frome A, Huber D, Kolluri R et al. Recognizing objects in range data using regional point descriptors[M]. Computer vision-ECCV 2004, 3023, 224-237(2004).

[2] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004).

[3] Aiger D, Mitra N J, Cohen-Or D. 4-points congruent sets for robust pairwise surface registration[J]. ACM Transactions on Graphics, 27, 85(2008).

[4] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration[C], 3212-3217(2009).

[5] Tombari F, Salti S, Di Stefano L. Unique signatures of histograms for local surface description[M]. Computer vision-ECCV 2010, 6313, 356-369(2010).

[6] Theiler P W, Wegner J D, Schindler K. Markerless point cloud registration with keypoint-based 4-points congruent sets[J]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, 283-288(2013).

[7] Xu W F, Jin L, Han X et al. Mirrored iterative closest point algorithm for missing point cloud registration[J]. Journal of Xi’an Jiaotong University, 57, 201-212, 220(2023).

[8] Yan D L, Wang W W, Li S H et al. A speedy point cloud registration method based on region feature extraction in intelligent driving scene[J]. Sensors, 23, 4505(2023).

[9] Zhang Z D, Tang J L, Niu L H et al. Point cloud registration method based on 3DMatch network and improved ISS algorithm[C], 161-166(2022).

[10] Prokop M, Shaikh S A, Kim K S. Low overlapping point cloud registration using line features detection[J]. Remote Sensing, 12, 61(2019).

[11] Tao W Y, Hua X H, Chen Z P et al. Fast and automatic registration of terrestrial point clouds using 2D line features[J]. Remote Sensing, 12, 1283(2020).

[12] Guan Y L, Zhang H J. Initial registration for point clouds based on linear features[C], 474-477(2011).

[13] Al-Durgham K, Habib A, Kwak E. RANSAC approach for automated registration of terrestrial laser scans using linear features[J]. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 5, 13-18(2013).

[14] Lu J, Peng Z T, Su H et al. Registration algorithm of point clouds based on multiscale normal features[J]. Journal of Electronic Imaging, 24, 013037(2015).

[15] Zhu J Y, Yang P C, Meng J et al. A point cloud classification downsampling and registration method for cultural relics based on curvature features[J]. Chinese Optics, 17, 572-579(2024).

[16] 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).

[17] Rusu R B, Blodow N, Marton Z C et al. Aligning point cloud views using persistent feature histograms[C], 3384-3391(2008).

[18] Li Y. An improved ICP point cloud registration method[J]. Optics & Optoelectronic Technology, 22, 23-29(2024).

[19] Li Y, Zhang Z Y, Wang J Z. RANSAC-ICP 3D point cloud registration method based on feature point extraction[J]. Journal of Shandong University (Engineering Edition), 54, 144-154(2024).

[20] Besl P J, McKay N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256(1992).

[21] You D L, Zhang S Y, Chen S T et al. A novel 3D point cloud registration algorithm based on hybrid line features[C], 2221-2228(2021).

[22] Guo J C, Ren L, Xin Y F et al. Similarity registration algorithm of 3D point clouds based on improved ICP[C], 7840-7845(2023).

[23] Cui W T, Du S Y, Wan T et al. Robust and precise isotropic scaling registration algorithm using bi-directional distance and correntropy[J]. Pattern Recognition Letters, 138, 298-304(2020).