Acta Photonica Sinica, Volume. 50, Issue 11, 1112002(2021)
Research on Point Cloud Registration Method Using Gravity Feature Transformation
[1] Yue JIANG, Hongguang HUANG, Qin SHU et al. Scale point cloud registration algorithm in high-dimensional orthogonal subspace mapping. Acta Optica Sinica, 39, 0315007(2019).
[2] Min ZHAO, Qin SHU, Wei CHEN et al. Three-dimensional point cloud registration algorithm based on l~p spatial mechanics model. Acta Optica Sinica, 38, 1010005(2018).
[3] Qinghong SHENG, Bin ZHANG, Hui XIAO et al. A registration method based on line cluster for terrestrial LiDAR point clouds. Geomatics and Information Science of Wuhan University, 43, 406-412(2018).
[4] Li YAN, Junxiang TAN, Ronghao YANG et al. A method of globally optimal registration for multi-view point clouds constrained by closed-loop conditions. Acta Geodaeticaet Cartographica Sinica, 45, 418-424(2016).
[5] Ronghua YANG, Meiying LV, Xianghong HUA. An algorithm for the multi-view tartget point cloud global registration. Geomatics and Information Science of Wuhan University, 39, 1189-1193(2014).
[6] Dehua ZHENG, Dongjie YUE, Jianping YUE. Geometric feature constraint based algorithm for building scanning point cloud registration. Acta Geodaeticaet Cartographica Sinica, 37, 464-468(2008).
[7] P J BESL, N D MCKAY. A method for registration of 3D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256(1994).
[8] Li YAN, Junxiang TAN, Hua LIU et al. Registration of TLS and MLS point cloud combining genetic algorithm with ICP. Acta Geodaeticaet Cartographica Sinica, 47, 528-536(2018).
[9] Yuan HUANG, DA Feipeng, Haiji TAO. An automatic registration algorithm for point cloud based on feature extraction. Chinese Journal of Lasers, 42, 0308002(2015).
[10] Xinchun LI, Zhenyu YAN, Sen LIN et al. Point cloud registration based on neighborhood characteristic point extraction and matching. Acta Photonica Sinica, 49, 0415001(2020).
[11] Haiji TAO, DA Feipeng. Automatic registration algorithm for the point clouds based on the normal vector. Chinese Journal of Lasers, 40, 0809001(2013).
[12] Wenxiao SUN, Jian WANG, Zhouyan LIANG et al. Accurate registration of laser point cloud based on normal feature constraint. Geomatics and Information Science of Wuhan University, 45, 988-995(2020).
[14] Yuzhen LEI, Zhongwei LI, Kai ZHONG et al. Mismatching marked points correction method based on random sample consensus algorithm. Acta Optica Sinica, 33, 0315002(2013).
[15] Xu CHEN, Bingwei HE. A fast global registration algorithm based on correcting point cloud principal component coordinate system. Laser & Optoelectronics Progress, 55, 061003(2018).
[18] Renzhong LI, Man YANG, Yu TIAN et al. Point cloud registration algorithm based on the ISS feature points combined with improved ICP algorithm. Laser & Optoelectronics Progress, 54, 111503(2017).
[19] Bin WANG, Lin LIU, Yuqing HOU et al. Three-dimensional cardiac point cloud registration by improved iterative closest point method. Optics and Precision Engineering, 28, 474-484(2020).
[21] N MELLADO, D AIGER, N J MITRA. Super4PCS: fast global point cloud registration via smart indexing. Computer Graphics Forum, 33, 205-215(2015).
[22] Bin LIU, Jiming GUO, Xiangxiang DENG. A point cloud registration method based on octree ICP. Science of Surveying and Mapping, 41, 130-132(2016).
[23] Changwei MIAO, Zhirong TANG, Yingjie TANG. Three-dimensional point cloud registration based on maximum sum of squares of correlation coefficients. Laser & Optoelectronics Progress, 56, 221504(2019).
Get Citation
Copy Citation Text
Raobo LI, Xiping YUAN, Shu GAN, Rui BI, Sha GAO, Lin HU. Research on Point Cloud Registration Method Using Gravity Feature Transformation[J]. Acta Photonica Sinica, 2021, 50(11): 1112002
Category: Instrumentation, Measurement and Metrology
Received: Dec. 29, 2020
Accepted: Feb. 22, 2021
Published Online: Dec. 2, 2021
The Author Email: GAN Shu (n1480@qq.com)