[1] Wang X L, Sun W L, Zhang J J et al. Review on reverse engineering research based on point cloud data[J]. Manufacturing Technology & Machine Tool, 49-53(2018).
[2] Liu Z Y, Jiang K Y, Lin J Y. Interactive extraction of boundary of specified target feature on scattered point cloud[J]. Computer Engineering and Applications, 52, 186-190(2016).
[3] Wen P, Cheng Y L, Yu W S. Point cloud classification methods based on deep learning: a review[J]. Laser & Optoelectronics Progress, 58, 1600003(2021).
[4] Gao J Y, Xu H L, Shao K L et al. An adaptive edge detection method based on local edge feature descriptor[J]. Chinese Journal of Lasers, 47, 0604003(2020).
[5] Song W T, Jiang W S, Luo Z. Rapid batch three-dimensional reconstruction of point clouds based on multi-label classification[J]. Laser & Optoelectronics Progress, 58, 1210001(2021).
[6] Lü Y Z, Sun Q, Bi G L. Recognition and repairing of surface hole in three dimensional laser scanning system[J]. Chinese Optics, 9, 114-121(2016).
[7] Wang Q H, Huang R N, Yan X G et al. Feature point extraction of scattered point cloud based on multiple criterions[J]. Application Research of Computers, 36, 1585-1588(2019).
[12] Xie Y C, Lin Y C, Huang Y G. The research of edge extraction and target recognition based on inherent feature of objects[J]. Proceedings of SPIE, 6625, 662515(2008).