Laser & Optoelectronics Progress, Volume. 56, Issue 19, 191503(2019)
Three-Dimensional Point Cloud Registration Algorithm Based on Factor Analysis
[1] 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).
[2] [2] He[\s]{1}SJ,[\s]{1}Zhao[\s]{1}ST,[\s]{1}BaiF,[\s]{1}et[\s]{1}al.[\s]{1}A[\s]{1}method[\s]{1}for[\s]{1}spatial[\s]{1}data[\s]{1}registration[\s]{1}based[\s]{1}on[\s]{1}PCA-ICP[\s]{1}algorithm[J].[\s]{1}Advanced[\s]{1}Materials[\s]{1}Research,[\s]{1}2013,[\s]{1}718/719/720:[\s]{1}1033-[\s]{1}1036.[\s]{1}
[6] Yang J L, Li H D, Jia Y D. Go-ICP: solving 3D registration efficiently and globally optimally. [C]∥2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, Australia. New York: IEEE, 1457-1464(2013).
[12] Campbell D, Petersson L. GOGMA: globally-optimal Gaussian mixture alignment. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 5685-5694(2016).
[17] Prakhya S M, Liu B B, Lin W S. B-SHOT: a binary feature descriptor for fast and efficient keypoint matching on 3D point clouds. [C]∥2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 28-October 2, 2015, Hamburg, Germany. New York: IEEE, 1929-1934(2015).
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Zhirong Tang, Yue Jiang, Changwei Miao, Chengqiang Zhao. Three-Dimensional Point Cloud Registration Algorithm Based on Factor Analysis[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191503
Category: Machine Vision
Received: Mar. 25, 2019
Accepted: Apr. 19, 2019
Published Online: Oct. 12, 2019
The Author Email: Tang Zhirong (913865538@qq.com)