[1] R Osada, T Funkhouser, B Chazelle, et al. Shape distributions. ACM Transactions on Graphics (TOG), 21, 807-832(2002).

[2] [2] Sun J, Ovsjanikov M, Guibas L. A concise provably infmative multiscale signature based on heat diffusion[C]Computer graphics fum. Oxfd, UK: Blackwell Publishing Ltd, 2009, 28(5): 13831392.

[3] A Krizhevsky, I Sutskever, G E Hinton. ImageNet classification with deep conv neural networks. Communications of the ACM, 60, 84-90(2017).

[4] X Z Pan, S Q Zhang, W P Guo. Application of multi-mode deep convolutional neural network to video expression recognition. Optics and Precision Engineering, 27, 230-237(2019).

[5] [5] Qi C R, Su H, Mo K, et al. Point: Deep learning on point sets f 3D classification segmentation[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition (CVPR), 2017: 7785.

[6] [6] Qi C R, Li Y, Hao S, et al. Point++: Deep hierarchical feature learning on point sets in a metric space[C]Advances in Neural Infmation Processing Systems, 2017, 30: 50995108.

[7] [7] Li Y, Bu R, Sun M, et al. Pointcnn: Convolution on Xtransfmed points[C]Advances in Neural Infmation Process ing Systems, 2018, 31: 820830.

[8] Y Wang, Y Sun, Z Liu, et al. Dynamic graph CNN for learning on point clouds. ACM Transactions on Graphics (TOG), 38, 1-12(2019).

[9] [9] Jaderberg M, Simonyan K, Zisserman A. Spatial transfmer wks[C]Advances in Neural Infmation Processing Systems, 2015, 28: 20172025.

[10] [10] Hastie T, Tibshirani R. Discriminant adaptive nearest neighb classification regression[C]Advances in Neural Infmation Processing Systems, 1996, 9: 409415.

[11] [11] Jégou H, Douze M, Sch C, et al. Aggregating local des into a compact image representation[C]2010 IEEE Computer Society Conference on Computer Vision Pattern Recognition. IEEE, 2010: 33043311.

[12] F Yu, V Koltun. Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv, 1511.07122(2015).

[13] [13] Wu Z, Song S, Khosla A, et al. 3 D Shapes: A deep representation f volumetric shapes[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition (CVPR), 2015: 19121920.

[14] L Yi, L Guibas, A Hertzmann, et al. Learning hierarchical shape segmentation and labeling from online repositories. ACM Transactions on Graphics, 36, 1-12(2017).

[15] D Zhang, F He, Z Tu, et al. Pointwise geometric and semantic learning network on 3 D point clouds. Integrated Computer-Aided Engineering, 27, 57-75(2020).

[16] [16] Duan Y, Zheng Y, Lu J, et al. Structural relational reasoning of point clouds[C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition, 2019: 949958.

[17] [17] Li D, Shen X, Yu Y, et al. GGM: Graph geometric moments convolution neural wk f point cloud shape classification[C]IEEE Access, 2020, 8: 124989124998.

[18] [18] Zhai Z, Zhang X, Yao L. Multiscale dynamic graph convolution wk f point clouds classification[C]IEEE Access, 2020, 8: 6559165598.

[19] Y Lyu, X Huang, Z Zhang. EllipsoidNet: Ellipsoid representation for point cloud classification and segmentation. arXiv preprint arXiv, 2103.02517(2021).