• Infrared and Laser Engineering
  • Vol. 50, Issue 12, 20210115 (2021)
Wentao Cui, Weidong Jiao, and Yanli Pang
Author Affiliations
  • Key Laboratory of Intelligent Signal and Image Processing, Civil Aviation University of China, Tianjin 300300, China
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    DOI: 10.3788/IRLA20210115 Cite this Article
    Wentao Cui, Weidong Jiao, Yanli Pang. SVS-NLMS point cloud registration algorithm based on geometric algebra[J]. Infrared and Laser Engineering, 2021, 50(12): 20210115 Copy Citation Text show less
    References

    [1] P J Besl, N D Mckay. A method for registration of 3-D Shapes. Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256(1992).

    [2] Vlaminck M, Luong H, Philips W. Multiresolution ICP f the efficient registration of point clouds based on octrees[C]2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA). New Yk: IEEE, 2017: 17047517.

    [3] Z F Wang, B Yan, L Tong, et al. Normal estimate method of point clouds based on adaptive neighbor size. Infrared and Laser Engineering, 43, 1322-1326(2014).

    [4] S Wang, H Y Sun, H C Guo, et al. Overlapping region extraction method for laser point clouds registration. Infrared and Laser Engineering, 46, S126002(2017).

    [5] H B Li. Conformal geometric algebra-A new framework for computational geometry. Journal of Computer-Aided Design & Computer Graphics, 17, 3-13(2005).

    [6] Liu B H. The computer simulation of robot mechanisms based on the confmal geometric algebra[D]. Beijing: Nth China University of Technology, 2018. (in Chinese)

    [7] H J Su, B Zhao. Hyperspectral band selection using conformal geometric algebra. Remote Sensing Technology and Application, 32, 539-545(2017).

    [8] W B Lopes, A Al-Nuaimi, C G Lopes. Geometric-algebra LMS adaptive filter and its application to rotation estimation. IEEE Signal Processing Letters, 23, 858-862(2016).

    [9] AlNuaimi A, Lopes W B, Steinbach E, et al. 6DOF point cloud alignment using geometric algebrabased adaptive filtering[C]IEEE Winter Conference on Applications of Computer Vision. New Yk: IEEE, 2016: 16035869.

    [10] R Wang, M Liang, Y He, et al. A normalized adaptive filtering algorithm based on geometric algebra. IEEE Access, 8, 92861-92874(2020).

    [11] R Wang, Y He, C Huang, et al. A novel least-mean kurtosis adaptive filtering algorithm based on geometric algebra. IEEE Access, 7, 78298-78310(2020).

    [12] Hitzer Eckhard. Introduction to Clifford’s geometric. Journal of the Society of Instrument and Control Engineers, 51, 338-350(2012).

    [13] Guo H. The study on algithms application of adaptive filter[D]. Lanzhou: Nthwest Nmal University, 2007. (in Chinese)

    [14] BayroCrochano E. Geometric algebra applications Vol. I: Computer Vision, Graphics Neurocomputing[M]. Cham, Switzerl: Springer, 2018.

    [15] J F Qin, J Z Ouyang. A new variable step size lms adaptive filtering algorithm. Journal of Data Acquisition & Processing, 12, 171-174(1997).

    [16] Nuaimi A, Piccolrovazzi M, Gedikli S, et al. Indo location retrieval using shape matching of kinectfusion scans to largescale indo point clouds[C]Proceedings of the 2015 Eurographics Wkshop on 3D Object Retrieval(3D’15). Goslar: Eurographics Association, 2015: 3138.

    [17] Wang J J, Lu Y P, Zhang J Y, et al. ICP optimization perfmance verification of laser point cloud efficient registration[JOL]. [20210416]. http:www.irla.cncnarticledoi10.3788IRLA20200483.

    Wentao Cui, Weidong Jiao, Yanli Pang. SVS-NLMS point cloud registration algorithm based on geometric algebra[J]. Infrared and Laser Engineering, 2021, 50(12): 20210115
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