Laser & Optoelectronics Progress, Volume. 56, Issue 22, 221504(2019)
Three-Dimensional Point Cloud Registration Based on Maximum Sum of Squares of Correlation Coefficients
[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] Rusu R B, Blodow N, Marton Z C et al. Aligning point cloud views using persistent feature histograms. [C]∥2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 22-26, 2008, Nice, France. New York: IEEE, 3384-3391(2008).
[5] Ying S H, Peng J G, Du S Y et al. A scale stretch method based on ICP for 3D data registration[J]. IEEE Transactions on Automation Science and Engineering, 6, 559-565(2009).
[9] Prakhya S M, Liu B B, Lin W S et al. B-SHOT: a binary 3D feature descriptor for fast keypoint matching on 3D point clouds[J]. Autonomous Robots, 41, 1501-1520(2017).
[11] Quan S W, Ma J, Hu F Y et al. Local voxelized structure for 3D binary feature representation and robust registration of point clouds from low-cost sensors[J]. Information Sciences, 444, 153-171(2018).
Get Citation
Copy Citation Text
Changwei Miao, Zhirong Tang, Yingjie Tang. Three-Dimensional Point Cloud Registration Based on Maximum Sum of Squares of Correlation Coefficients[J]. Laser & Optoelectronics Progress, 2019, 56(22): 221504
Category: Machine Vision
Received: Apr. 2, 2019
Accepted: May. 17, 2019
Published Online: Nov. 2, 2019
The Author Email: Miao Changwei (853360040@qq.com)