Point Cloud Registration Based on Improved Dynamic Differential Evolution Algorithm

LI Chuan-long; DIAN Song-yi; LIU Hai-liang

doi:10.3969/j.issn.1671-637x.2019.03.013

[4] BESL P J, MCKAY H D.A method for registration of 3-D shapes［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2):239-256.

[5] LI S, WANG J, LIANG Z, et al.Tree point clouds registration using an improved ICP algorithm based on kd-tree［C］//Geoscience and Remote Sensing Symposium, IEEE, 2016:4545-4548.

[6] RUSINKIEWICZ S, LEVOY M.Efficient variants of the ICP algorithm［C］//International Conference on 3-D Digital Imaging and Modeling, IEEE, 2002:145-152.

[7] HE Y, LIANG B, YANG J, et al.An iterative closest points algorithm for registration of 3D laser scanner point clouds with geometric features［J］.Sensors, 2017, 17(8):1862.

[10] YANG J Q,CAO Z G, ZHANG Q.A fast and robust local descriptor for 3D point cloud registration［J］.Information Sciences, 2016, 346:163-179.

[11] RUSU R B, BLODOW N, BEETZ M.Fast point feature histograms (FPFH) for 3D registration［C］//IEEE International Conference on Robotics and Automation, IEEE Press, 2009:1848-1853.

[17] YAN L, TAN J, LIU H, et al.Automatic registration of TLS-TLS and TLS-MLS point clouds using a genetic algorithm［J］.Sensors, 2017, 17(9):1-18.

[19] QIN K, HUANG V L, SUGANTHAN P N, et al.Diffe-rential evolution algorithm with strategy adaptation for global numerical optimization［J］.IEEE Transactions on Evolutionary Computation, 2009, 13(2):398-417.

[20] KJER H, WILM J.Evaluation of surface registration algorithms for PET motion correction［D］.Kongens Lyngby:Technical University of Denmark, 2010.

[22] Stanford University.The stanford 3D scanning repositoryp［EB/OL］.(2014-08-19)［2018-02-26］.http://graphics.stanford.edu/data/3Dscanrep/.