[1] Wang P, Geng G H, Yang W et al. Fragment splicing method combined with surface texture and fracture contour[J]. Computer Engineering, 45, 315-320(2019).
[2] 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).
[3] Yang J Q, Zhang Q, Xiao Y et al. TOLDI: an effective and robust approach for 3D local shape description[J]. Pattern Recognition, 65, 175-187(2017).
[5] Kleppe A L, Egeland O. A curvature-based descriptor for point cloud alignment using conformal geometric algebra[J]. Advances in Applied Clifford Algebras, 28, 50(2018).
[6] Beksi W J, Papanikolopoulos N. A topology-based descriptor for 3D point cloud modeling: theory and experiments[J]. Image and Vision Computing, 88, 84-95(2019).
[10] Bai J, Si Q L, Qin F W. 3D model classification and retrieval based on CNN and voting scheme[J]. Journal of Computer-Aided Design & Computer Graphics, 31, 303-314(2019).
[11] Qi C R, Su H, Mo K C et al. Pointnet: deep learning on point sets for 3D classification and segmentation. [C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, July 21-26, 2017, Honolulu, Hawaii. New York: IEEE, 652-660(2017).
[12] Qi C R, Yi L, Su H et al. Pointnet++: deep hierarchical feature learning on point sets in a metric space. [C]//Advances in Neural Information Processing Systems, December 4-9, 2017, Long Beach, CA, USA. Canada: NIPS, 5099-5108(2017).
[13] Zou Y, Wang X Q, Zhang T et al. BRoPH: an efficient and compact binary descriptor for 3D point clouds[J]. Pattern Recognition, 76, 522-536(2018).
[16] Heikkilä M, Pietikäinen M, Schmid C. Description of interest regions with local binary patterns[J]. Pattern Recognition, 42, 425-436(2009).