Undersampled non-uniform density multi-station 3D point cloud alignment method based on manifold clustering

Jixiang NIE; Yibo WANG; Qiubing SHEN; Heping HUANG; Xiaolin CHEN; Hui CHEN

doi:10.37188/CJLCD.2023-0318

Chinese Journal of Liquid Crystals and Displays, Volume. 39, Issue 9, 1255(2024)

Undersampled non-uniform density multi-station 3D point cloud alignment method based on manifold clustering

Jixiang NIE¹, Yibo WANG², Qiubing SHEN¹, Heping HUANG³, Xiaolin CHEN⁴, and Hui CHEN^1、*

Author Affiliations

¹College of Automation Engineering，Shanghai University of Electric Power，Shanghai 200090，China

²West-East Gas Transmission Branch，National Petroleum Gas Pipeline Group Co. Ltd.，Shanghai 200122，China

³Zhengtai Instrument（Hangzhou）Co. Ltd.，Hangzhou 310052，China

⁴Shanghai Chint Power System Co. Ltd.，Shanghai 201600，China

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References(21)

[1] WU Z J, ZHANG Q C. Recent progress on 3D shape and deformation measurement based on fringe projection[J]. Chinese Journal of Liquid Crystals and Displays, 38, 730-747(2023).

[2] DOU J, NIU D M, FENG Z Q et al. Robust non-rigid point set registration method based on asymmetric Gaussian and structural feature[J]. IET Computer Vision, 12, 806-816(2018).

[3] LI L, YANG M, WANG C X et al. Robust point set registration using signature quadratic form distance[J]. IEEE Transactions on Cybernetics, 50, 2097-2109(2020).

[4] MARON H, DYM N, KEZURER I et al. Point registration via efficient convex relaxation[J]. ACM Transactions on Graphics (TOG), 35, 1-12(2016).

[5] YANG M, MA J J, ZHANG J. Application of 3d laser scanning technique in complex surface[J]. Geomatics Science and Technology, 9, 82-89(2021).

[6] LIU X Z, AI Y F, TIAN B et al. Robust and fast registration of infrared and visible images for electro-optical pod[J]. IEEE Transactions on Industrial Electronics, 66, 1335-1344(2019).

[7] BARROS A M, MICHEL M, MOLINE Y et al. A comprehensive survey of visual slam algorithms[J]. Robotics, 11, 24(2022).

[8] LIAO Q F, SUN D, ANDREASSON H. Point set registration for 3D range scans using fuzzy cluster-based metric and efficient global optimization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 3229-3246(2021).

[9] LI T X, HOU M S, LI L J et al. Control point extraction and optimization method of laser scanning projection graphics based on feature adaptation[J]. Acta Optica Sinica, 41, 2411004(2021).

[10] REN J J, WANG Y P, CHEUNG Y M et al. Grouping-based oversampling in kernel space for imbalanced data classification[J]. Pattern Recognition, 133, 108992(2023).

[11] FERNÁNDEZ A, GARCIA S, HERRERA F et al. SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary[J]. Journal of Artificial Intelligence Research, 61, 863-905(2018).

[12] HE Y B, CHEN R L, WU K et al. Point cloud simplification method based on k-means clustering[J]. Laser & Optoelectronics Progress, 56, 091002(2019).

[13] CUTLER A, CUTLER D R, STEVENS J R, ZHANG C, MA Y Q. Random forests[M]. Ensemble Machine Learning: Methods and Applications, 157-175(2012).

[14] ZHANG H Y, ZHANG R, LI X L et al. Robust multi-view fuzzy clustering via softmin[J]. Neurocomputing, 458, 47-55(2021).

[15] CHETVERIKOV D, STEPANOV D, KRSEK P. Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm[J]. Image and Vision Computing, 23, 299-309(2005).

[16] ZHU J H, JIANG Z T, EVANGELIDIS G D et al. Efficient registration of multi-view point sets by K-means clustering[J]. Information Sciences, 488, 205-218(2019).

[17] SOUVENIR R, PLESS R. Manifold clustering[C], 648-653(2005).

[18] GUO R, CHEN J Q, WANG L. Hierarchical K-means clustering for registration of multi-view point sets[J]. Computers & Electrical Engineering, 94, 107321(2021).

[19] WU T, PAN L, ZHANG J Z et al. Density-aware chamfer distance as a comprehensive metric for point cloud completion[C], 29088-29100(2021).

[20] SINGH G N, BHATTACHARYYA D, BANDYOPADHYAY A. A general class of calibration estimators under stratified random sampling in presence of various kinds of non-sampling errors[J]. Communications in Statistics-Simulation and Computation, 52, 320-333(2023).

[21] LI R Z, YANG M, LIU Y Y et al. An uniform simplification algorithm for scattered point cloud[J]. Acta Optica Sinica, 37, 0710002(2017).

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Jixiang NIE, Yibo WANG, Qiubing SHEN, Heping HUANG, Xiaolin CHEN, Hui CHEN. Undersampled non-uniform density multi-station 3D point cloud alignment method based on manifold clustering[J]. Chinese Journal of Liquid Crystals and Displays, 2024, 39(9): 1255

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Paper Information

Category:

Received: Oct. 7, 2023

Accepted: --

Published Online: Nov. 13, 2024

The Author Email: Hui CHEN (chenhui@shiep.edu.cn)

DOI:10.37188/CJLCD.2023-0318

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