• Laser & Optoelectronics Progress
  • Vol. 57, Issue 8, 081502 (2020)
Bin Hou1、*, Shangzhong Jin1、2、**, Yun Wang1, Zhihui Cheng1, and Xinyi Cao1
Author Affiliations
  • 1College of Optical and Electronic Science, China Jiliang University, Hangzhou, Zhejiang 310018, China
  • 2Key Laboratory of Zhejiang Province on Modern Measurement Technology and Instruments, Hangzhou, Zhejiang 310018, China 310018, China
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    DOI: 10.3788/LOP57.081502 Cite this Article Set citation alerts
    Bin Hou, Shangzhong Jin, Yun Wang, Zhihui Cheng, Xinyi Cao. Comparison of Point Cloud Registration Methods in Coarse Registration[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081502 Copy Citation Text show less
    References

    [1] Luo Y, Guan T, Wei B et al. Fast terrain mapping from low altitude digital imagery[J]. Neurocomputing, 156, 105-116(2015).

    [2] Wang J C, Wang T M, Xu Y et al. Registration method based on ICP algorithm for 3D surgical navigation[J]. Journal of Beijing University of Aeronautics and Astronautics, 35, 434-438(2009).

    [3] Bidanda B, Hosni Y A. Reverse engineering and its relevance to industrial engineering: a critical review[J]. Computers & Industrial Engineering, 26, 343-348(1994).

    [4] Zhao F Q, Zhou M Q, Geng G H. Local feature registration method of skull point cloud model[J]. Journal of Image and Graphics, 22, 1120-1127(2017).

    [5] Yan J F, Deng K Z, Xing Z Q[J]. 3D laser scanning point cloud filtering based on least squares fitting Bulletin of Surveying and Mapping, 2013, 43-46.

    [6] Liu J, Bai D. 3D point cloud registration algorithm based on feature matching[J]. Acta Optica Sinica, 38, 1215005(2018).

    [7] Chen X, He B W. A fast global registration algorithm based on correcting point cloud principal component coordinate system[J]. Laser & Optoelectronics Progress, 55, 061003(2018).

    [8] Ou X L, Kuang X L, Ni W Y. Summarization on 3D scattered point cloud segmentation[J]. Journal of Hunan University of Technology, 24, 45-49(2010).

    [9] He H G, Tian J, Zhao M C et al. A 3D medical imaging surface reconstruction scheme based on segmentation[J]. Journal of Software, 13, 219-226(2002).

    [10] Li P, Xing S, Li J et al. A three-dimensional laser point cloud rough registration algorithm based on virtual feature points[J]. Journal of Geo-Information Science, 20, 430-439(2018).

    [11] Zhang X, Zhang R, Zhang X C. Matching method of point cloud models based on auxiliary device[J]. Computer Integrated Manufacturing Systems, 20, 1029-1034(2014).

    [12] Yang Z H, Zhang Y S. A global registration method of terrestrial laser point cloud based on feature points[J]. Geomatics & Spatial Information Technology, 41, 66-68, 71(2018).

    [13] Li B F, Tian B H, Zhang X M et al. Accelerator of the global automated image registration algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 24, 1363-1368(2012).

    [14] Chen C S, Hung Y P, Cheng J B. RANSAC-based DARCES: a new approach to fast automatic registration of partially overlapping range images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21, 1229-1234(1999).

    [15] Zhang X, Zhang A, Wang Z H. Point cloud registration based on improved normal distribution transform algorithm[J]. Laser & Optoelectronics Progress, 51, 041002(2014).

    [16] Tangelder J W H, Veltkamp R C. A survey of content based 3D shape retrieval methods[J]. Multimedia Tools and Applications, 39, 441-471(2008).

    [17] Yan J F, Deng K Z[J]. Point cloud registration algorithm based on extracting and matching feature points Bulletin of Surveying and Mapping, 2013, 62-65.

    [18] Lun J, Peng Z T, Dong D L et al[J]. The registration algorithm of point cloud based on optimal extraction of FPFH feature New Industrialization Straregy, 2014, 75-81.

    [19] Aiger D, Mitra N J, Cohen-Or D. 4-points congruent sets for robust pairwise surface registration[J]. ACM Transactions on Graphics, 27, 85(2008).

    [20] Li R Z, Yang M, Tian Y et al. Point cloud registration algorithm based on the ISS feature points combined with improved ICP algorithm[J]. Laser & Optoelectronics Progress, 54, 312-319(2017).

    [21] Biber P, Strasser W. The normal distributions transform: a new approach to laser scan matching. Cat. No.03CH37453), October 27-31, 2003, Las Vegas, Nevada, USA. New York: IEEE, 2743-2748(2003).

    Bin Hou, Shangzhong Jin, Yun Wang, Zhihui Cheng, Xinyi Cao. Comparison of Point Cloud Registration Methods in Coarse Registration[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081502
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