[1] Tang Z R, Liu M Z, Jiang Y et al. Point cloud registration algorithm based on canonical correlation analysis[J]. Chinese Journal of Lasers, 46, 0404006(2019).
[2] Brusco M, Andreetto M, Giorgi A et al. 3D registration by textured spin-images[C], 262-269(2005).
[3] Mori G, Malik J. Estimating human body configurations using shape context matching[M]. Heyden A, Sparr G, Nielsen M, et al. Computer vision-ECCV 2002, 2352, 666-680(2002).
[4] Zhong Y. Intrinsic shape signatures: a shape descriptor for 3D object recognition[C], 689-696(2009).
[5] Yang B S, Dong Z[M]. Point cloud intelligent processing(2020).
[6] Salti S, Tombari F, di Stefano L. SHOT: unique signatures of histograms for surface and texture description[J]. Computer Vision and Image Understanding, 125, 251-264(2014).
[7] Prakhya S M, Liu B B, Lin W S et al. B-SHOT: a binary 3D feature descriptor for fast keypoint matching on 3D point clouds[J]. Autonomous Robots, 41, 1501-1520(2017).
[8] Srivastava S, Lall B. 3D binary signatures[C], 1-8(2016).
[9] Dong Z, Yang B S, Liu Y et al. A novel binary shape context for 3D local surface description[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 431-452(2017).
[10] Ma G Q, Liu L, Yu Z L et al. Three-dimensional point cloud splicing technology of complex surfaces based on iGPS[J]. Chinese Journal of Lasers, 46, 0204003(2019).
[11] Wang Y B, Zheng N S, Bian Z F. Planar feature-constrained, quaternion-based registration algorithm for LiDAR point clouds[J]. Acta Optica Sinica, 40, 2310001(2020).
[12] Tang M J, Zhao H, Ding H. Research on binarized local feature descriptors of point clouds[J]. Journal of Mechanical Engineering, 57, 219-229(2021).
[13] Zhou Q M, Lu Z, Brooke R J et al. Evaluating the incremental value of a new model: area under the ROC curve or under the PR curve[EB/OL]. https://arxiv.org/abs/2010.09822
[14] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration[C], 3212-3217(2009).
[15] Prakhya S M, Lin J, Chandrasekhar V et al. 3DHoPD: a fast low-dimensional 3-D descriptor[J]. IEEE Robotics and Automation Letters, 2, 1472-1479(2017).
[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] Schnabel R, Wahl R, Klein R. Efficient RANSAC for point-cloud shape detection[J]. Computer Graphics Forum, 26, 214-226(2007).
[18] 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).