• Laser & Optoelectronics Progress
  • Vol. 53, Issue 5, 51202 (2016)
Zhou Wenzhen*, Chen Guoliang, Du Shanshan, and Li Fei
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/lop53.051202 Cite this Article Set citation alerts
    Zhou Wenzhen, Chen Guoliang, Du Shanshan, Li Fei. An Improved Iterative Closest Point Algorithm Using Clustering[J]. Laser & Optoelectronics Progress, 2016, 53(5): 51202 Copy Citation Text show less
    References

    [1] Pingbo Tang, Daniel Huber, Burcu Akinci, et al.. Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques[J]. Automation in Construction, 2010, 19(7): 829-843.

    [2] Jaehoon Jung, Sanghyun Yoon, Sungha Ju, et al.. Development of kinematic 3D laser scanning system for indoor mapping and as-built BIM using constrained SLAM[J]. Sensors, 2015, 15(10): 26430-26456.

    [3] He Wu, Lu Wei, Wang Yao, et al.. Player based indoor service robot map building and localization system[J]. Instrumentation Technology, 2011(5): 56-58.

    [4] N Senin, B M Colosimo, M Pacella. Point set augmentation through fitting for enhanced ICP registration of point clouds in multisensor coordinate metrology[J]. Robotics and Computer-Integrated Manufacturing, 2013, 29(1): 39-52.

    [5] Wei Shengbin, Wang Shaoqing, Zhou Changhe, et al.. An iterative closest point algorithm based on biunique correspondence of point clouds for 3D reconstruction[J]. Acta Optica Sinica, 2015,35(5): 0515003.

    [6] Paul J Besl, Neil D McKay. Method for registration of 3-D shapes[C]. International Society for Optics and Photonics, 1992: 586-606.

    [7] Yang Xiaoqing, Yang Qiuxiang, Yang Jian, et al.. Point cloud registration based on improved ICP algorithm[J]. Computer Engineering and Design, 2015, 36(9): 2457-2461.

    [8] Zhao Mingbo, He Jun, Luo Xiaobo, et al.. Two-viewing angle ladar data registration based on improved iterative closest-point algorithm[J]. Acta Optica Sinica, 2012, 32(11): 1128007.

    [9] Xie Zexiao, Xu Shang. A survey on the ICP algorithm and its variants in registration of 3D point clouds[J]. Periodica of Ocean University of China, 2010, 40(1): 99-103.

    [10] Tao Haiji, Da Feipeng. Automatic registration algorithm for the point clouds based on the normal vector[J]. Chinese J Lasers, 2013,40(8): 0809001.

    [11] Huang Yuan, Da Feipeng, Tao Haiji. An automatic registration algorithm for point cloud based on feature extraction[J]. Chinese J Lasers, 2015, 42(3): 0308002.

    [12] Wang Guo, Sha Congshu, Wang Jian. Study on segmentation of building facade considering local point cloud density[J]. Laser & Optoelectronics Progress, 2015, 52(6): 061001.

    [13] Wang Ke, Zhao Lijun, Li Ruifeng. Complex indoor map building based on fusion of sequential Mb-ICP[C]. Chinese Association of Automation Control Theory Professional Committee B Volume, 2011: 4023-4028.

    [14] R Tiar, M Lakrouf, O Azouaoui. Fast ICP-SLAM for a bi-steerable mobile robot in large environments[C]. IEEE, 2015: 611-616.

    [15] Wu Suhui, Cheng Ying, Zheng Yanning, et al.. Survey on K-means algorithm[J]. New Technology of Library and Information Service, 2011, 27(5): 28-35.

    [16] Wan Jing, Zhang Yi, He Yunbin, et al.. Dynamic clustering algorithm based on KD-tree and K-means method[J]. Application Research of Computers, 2015, 32(12): 3590-3595.

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    Zhou Wenzhen, Chen Guoliang, Du Shanshan, Li Fei. An Improved Iterative Closest Point Algorithm Using Clustering[J]. Laser & Optoelectronics Progress, 2016, 53(5): 51202
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