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Laser & Optoelectronics Progress, Volume. 61, Issue 22, 2215001(2024)

LSNFS: A Local Feature Descriptor Algorithm with High Discrimination and Strong Robustness

Senda Hong1,2, Haojie Cheng1,2, Chunxiao Xu1,2, Zhenxin Chen2, Jiajun Wang2, and Lingxiao Zhao2、*
Author Affiliations
  • 1School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, Anhui , China
  • 2Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou 215162, Jiangsu , China
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    [1] Li Q M, Ren J J, Pei X H et al. High-accuracy point cloud matching algorithm for weak-texture surface based on multi-modal data cooperation[J]. Acta Optica Sinica, 42, 0810001(2022).

    [2] Yan Y J, An J Y, Zhao J et al. Hybrid optimization with unconstrained variables on partial point cloud registration[J]. Pattern Recognition, 136, 109267(2023).

    [3] Liu X S, Li A H, Sun J F et al. Trigonometric projection statistics histograms for 3D local feature representation and shape description[J]. Pattern Recognition, 143, 109727(2023).

    [4] Mian A S, Bennamoun M, Owens R. Three-dimensional model-based object recognition and segmentation in cluttered scenes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28, 1584-1601(2006).

    [5] Jiang L, Liu Q, Lei B et al. Identifying and constructing semantic maps based on laser and vision fusions for improving localization performance[J]. Chinese Journal of Lasers, 49, 1810003(2022).

    [6] Liu A N, Wang Z Y, Nie W Z et al. Graph-based characteristic view set extraction and matching for 3D model retrieval[J]. Information Sciences, 320, 429-442(2015).

    [7] Wang M J, Li L, Yi F et al. Three-dimensional reconstruction and analysis of target laser point cloud data under simulated real water environment[J]. Chinese Journal of Lasers, 49, 0309001(2022).

    [8] Murphy-Chutorian E, Trivedi M M. Head pose estimation in computer vision: a survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, 607-626(2009).

    [9] Zhang K Y, Hong R, Gai S Y et al. Three-dimensional human hand pose estimation based on finger-point reinforcement and multi-level feature fusion[J]. Acta Optica Sinica, 42, 1915001(2022).

    [10] Yang J Q, Zhang Q, Xiao Y et al. TOLDI: an effective and robust approach for 3D local shape description[J]. Pattern Recognition, 65, 175-187(2017).

    [11] Guo Y L, Bennamoun M, Sohel F et al. 3D object recognition in cluttered scenes with local surface features: a survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 2270-2287(2014).

    [12] Yang J Q, Zhang Q, Cao Z G. The effect of spatial information characterization on 3D local feature descriptors: a quantitative evaluation[J]. Pattern Recognition, 66, 375-391(2017).

    [13] Li J N, Wang Z, Xu T F. Three-dimensional object detection technology based on point cloud data[J]. Acta Optica Sinica, 43, 1515001(2023).

    [14] Gojcic Z, Zhou C F, Wegner J D et al. The perfect match: 3D point cloud matching with smoothed densities[C], 5540-5549(2019).

    [15] Ao S, Hu Q Y, Yang B et al. SpinNet: learning a general surface descriptor for 3D point cloud registration[C], 11748-11757(2021).

    [16] Horache S, Deschaud J E, Goulette F. 3D point cloud registration with multi-scale architecture and unsupervised transfer learning[C], 1351-1361(2021).

    [17] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration[C], 3212-3217(2009).

    [18] Zhao H, Tang M J, Ding H. HoPPF: a novel local surface descriptor for 3D object recognition[J]. Pattern Recognition, 103, 107272(2020).

    [19] Guo Y L, Sohel F, Bennamoun M et al. Rotational projection statistics for 3D local surface description and object recognition[J]. International Journal of Computer Vision, 105, 63-86(2013).

    [20] Petrelli A, Di Stefano L. On the repeatability of the local reference frame for partial shape matching[C], 2244-2251(2011).

    [21] Yang J Q, Zhang Q, Cao Z G. Multi-attribute statistics histograms for accurate and robust pairwise registration of range images[J]. Neurocomputing, 251, 54-67(2017).

    [22] Zhao B, Le X Y, Xi J T. A novel SDASS descriptor for fully encoding the information of a 3D local surface[J]. Information Sciences, 483, 363-382(2019).

    [23] Marinov E, Martins R J, Youssef M A B et al. Overcoming the limitations of 3D sensors with wide field of view metasurface-enhanced scanning lidar[J]. Advanced Photonics, 5, 046005(2023).

    [24] Zhao B, Xi J T. Efficient and accurate 3D modeling based on a novel local feature descriptor[J]. Information Sciences, 512, 295-314(2020).

    [25] Poiesi F, Boscaini D. Distinctive 3D local deep descriptors[C], 5720-5727(2021).

    [26] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004).

    [27] Salti S, Tombari F, Di Stefano L. SHOT: Unique signatures of histograms for surface and texture description[J]. Computer Vision and Image Understanding, 125, 251-264(2014).

    [28] Salti S, Tombari F, Di Stefano L. A performance evaluation of 3D keypoint detectors[C], 236-243(2011).

    [29] Tombari F, Salti S, Di Stefano L. Performance evaluation of 3D keypoint detectors[J]. International Journal of Computer Vision, 102, 198-220(2013).

    [30] Mian A S, Bennamoun M, Owens R A. A novel representation and feature matching algorithm for automatic pairwise registration of range images[J]. International Journal of Computer Vision, 66, 19-40(2006).

    [31] Mian A S, Bennamoun M, Owens R. On the repeatability and quality of keypoints for local feature-based 3D object retrieval from cluttered scenes[J]. International Journal of Computer Vision, 89, 348-361(2010).

    [32] Taati B, Greenspan M. Local shape descriptor selection for object recognition in range data[J]. Computer Vision and Image Understanding, 115, 681-694(2011).

    [33] Petrelli A, Di Stefano L. Pairwise registration by local orientation cues[J]. Computer Graphics Forum, 35, 59-72(2016).

    [34] Guo Y L, Bennamoun M, Sohel F et al. A comprehensive performance evaluation of 3D local feature descriptors[J]. International Journal of Computer Vision, 116, 66-89(2016).

    [35] Yang J Q, Cao Z G, Zhang Q. A fast and robust local descriptor for 3D point cloud registration[J]. Information Sciences, 346, 163-179(2016).

    [36] Yang J Q, Zhang Q, Xian K et al. Rotational contour signatures for both real-valued and binary feature representations of 3D local shape[J]. Computer Vision and Image Understanding, 160, 133-147(2017).

    [37] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 24, 381-395(1981).

    [38] Tang M J, Zhao H, Ding H. Research on binarized local feature descriptors of point clouds[J]. Journal of Mechanical Engineering, 57, 219-229(2021).

    [39] 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).

    [40] Pomerleau F, Liu M, Colas F et al. Challenging data sets for point cloud registration algorithms[J]. International Journal of Robotics Research, 31, 1705-1711(2012).

    [41] Sturm J, Engelhard N, Endres F et al. A benchmark for the evaluation of RGB-D SLAM systems[C], 573-580(2012).

    [42] Zeng A, Song S R, Nießner M et al. 3DMatch: learning local geometric descriptors from RGB-D reconstructions[C], 199-208(2017).

    [43] Geiger A, Lenz P, Urtasun R. Are we ready for autonomous driving? The KITTI vision benchmark suite[C], 3354-3361(2012).

    [44] Khoury M, Zhou Q Y, Koltun V. Learning compact geometric features[C], 153-161(2017).

    [45] Deng H W, Birdal T, Ilic S. PPFNet: global context aware local features for robust 3D point matching[C], 195-205(2018).

    [46] Deng H W, Birdal T, Ilic S. PPF-FoldNet: unsupervised learning of rotation invariant 3D local descriptors[M]. Computer vision-ECCV 2018, 11209, 620-638(2018).

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    Senda Hong, Haojie Cheng, Chunxiao Xu, Zhenxin Chen, Jiajun Wang, Lingxiao Zhao. LSNFS: A Local Feature Descriptor Algorithm with High Discrimination and Strong Robustness[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2215001

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    Paper Information

    Category: Machine Vision

    Received: Feb. 5, 2024

    Accepted: Mar. 12, 2024

    Published Online: Nov. 19, 2024

    The Author Email: Lingxiao Zhao (hitic@sibet.ac.cn)

    DOI:10.3788/LOP240666

    CSTR:32186.14.LOP240666

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology