TY - GEN
T1 - An allowance optimal distribution method based on improved iterative closest point algorithm
AU - Li, Dongxia
AU - Wang, Aimin
AU - Ren, Penghao
AU - Wu, Long
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/12
Y1 - 2018/4/12
N2 - To deal with the problem about allowance optimal distribution, a method based on improved iterative closest point algorithm was put forward. The method consists of the following parts. Firstly, Measure the blank using a 3D laser scanner. And then apply the improved iterative algorithm to the measured model and the ideal CAD model to optimize the allocation distribution. In the improved algorithm, a coarse registration based on the principal component analysis algorithm was carried out to improve the speed and accuracy of the fine registration. And the iterative closet point algorithm was applied for the fine registration, where a KD-Tree topology of point cloud data was established to improve the speed of searching the nearest point. At the end of the paper, an example has been developed with the window feature of a cabin to verify the improved algorithm. The results show the proposed method is effective and feasible.
AB - To deal with the problem about allowance optimal distribution, a method based on improved iterative closest point algorithm was put forward. The method consists of the following parts. Firstly, Measure the blank using a 3D laser scanner. And then apply the improved iterative algorithm to the measured model and the ideal CAD model to optimize the allocation distribution. In the improved algorithm, a coarse registration based on the principal component analysis algorithm was carried out to improve the speed and accuracy of the fine registration. And the iterative closet point algorithm was applied for the fine registration, where a KD-Tree topology of point cloud data was established to improve the speed of searching the nearest point. At the end of the paper, an example has been developed with the window feature of a cabin to verify the improved algorithm. The results show the proposed method is effective and feasible.
KW - Allowance distribution
KW - Iterative closet point
KW - KD-Tree topology
KW - Principal component analysis
UR - http://www.scopus.com/inward/record.url?scp=85050638291&partnerID=8YFLogxK
U2 - 10.1109/ICMTMA.2018.00130
DO - 10.1109/ICMTMA.2018.00130
M3 - Conference contribution
AN - SCOPUS:85050638291
T3 - Proceedings - 10th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2018
SP - 515
EP - 518
BT - Proceedings - 10th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2018
Y2 - 10 February 2018 through 11 February 2018
ER -