• Laser & Optoelectronics Progress
  • Vol. 54, Issue 1, 11003 (2017)
Zeng Fanxuan*, Li Liang, and Diao Xinpeng
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/lop54.011003 Cite this Article Set citation alerts
    Zeng Fanxuan, Li Liang, Diao Xinpeng. Iterative Closest Point Algorithm Registration Based on Curvature Features[J]. Laser & Optoelectronics Progress, 2017, 54(1): 11003 Copy Citation Text show less
    References

    [1] Besl P J, Mckay N D. Method for registration of 3D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.

    [2] Mitra N J, Gelfand N, Pottmann H, et al. Registration of point cloud data from a geometric optimization perspective[C]. Proceedings of Eurographics Symposium on Geometry Processing, 2013: 22-31.

    [3] Fitzgibbon A W. Robust registration of 2D and 3D point sets[J]. Image and Vision Computing, 2003, 21(13-14): 1145-1153.

    [4] Li W M, Song P F. A modified ICP algorithm based on dynamic adjustment factor for registration of point cloud and CAD model[J]. Pattern Recognition Letters, 2015, 65: 88-94.

    [5] Jost T, Hugli H. A multi-resolution ICP with heuristic closest point search for fast and robust 3D registration of range images[C]. Proceedings of IEEE International Conference on 3D Digital Imaging and Modeling, 2003: 427-433.

    [6] Gelfand N, Rusinkiewicz S, Ikemoto L, et al. Geometrically stable sampling for the ICP algorithm[C]. Proceedings of IEEE International Conference on 3D Digital Imaging and Modeling, 2003: 260-267.

    [7] Guehring J. Reliable 3D surface acquisition, registration and validation using statistical error models[C]. Proceedings of IEEE International Conference on 3D Ditial Imaging and Modeling, 2001: 224-231.

    [8] Rusinkiewicz S, Levoy M. Efficient variants of the ICP algorithm[C]. Proceedings of IEEE International Conference on 3D Digital Imaging and Modeling, 2001: 145-152.

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

    [10] Chen Y, Medioni G. Object modeling by registration of multiple range images[J]. Image and Vision Computing, 1992, 10(3): 145-155.

    [11] Woo H, Kang E, Wang S, et al. A new segmentation method for point cloud data[J]. International Journal of Machine Tools and Manufacture, 2002, 42(2): 167-178.

    [12] Yang M, Lee E. Segmentation of measured point data using a parametric quadric surface approximation[J]. Computer-Aided Design, 1999, 31(7): 449-457.

    [13] 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.

    [14] 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.

    [15] An Dong, Gai Shaoyan, Da Feipeng. A new model of three- dimensional shape measurement system based on fringe projection[J]. Acta Optica Sinica, 2014, 34(5): 0512004.

    [16] 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.

    CLP Journals

    [1] Liu Meiju, Wang Xudong, Li Lingyan, Gao Enyang. Improved Random Sampling Consistency Algorithm Employed in Three-Dimensional Point Cloud Registration[J]. Laser & Optoelectronics Progress, 2018, 55(10): 101104

    [2] Zhang Qi, Lin Suzhen, Bai Jialu, Zhong Jiarang. Opening-Hole Repairing in Point Cloud Based on Improved Curve Contraction Flows[J]. Laser & Optoelectronics Progress, 2018, 55(9): 91002

    [3] Shi Xun, Ren Jie, Ren Xiaokang, Ren Jinjun, Yuan Zhifeng. Drift Registration Based on Curvature Characteristics[J]. Laser & Optoelectronics Progress, 2018, 55(8): 81008

    [4] Tian Maoyi, Wang Yancun, Yu Jiayong, He Yan, Cao Yuefei, Lü Deliang, Hu Shanjiang, Yang Zhong, Zhu Xia, Shi Xiangao. Study on the Data Registration Method of Airborne Bathymetric LiDAR System and Ship-Based Mobile Measurement System[J]. Laser & Optoelectronics Progress, 2018, 55(8): 82802

    [5] Zhang Zhe, Xu Hongli, Yin Hui. A Fast Point Cloud Registration Algorithm Based on Key Point Selection[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121002

    [6] Zhu Bingfei, Chen Wenjian, Li Wusen, Zhang Junqian. Liquid Crystal Display Defect Detection Based on Fourier-Mellin Transform[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121502

    [7] Jiang Mingxing, Hu Min, Wang Xiaohua, Ren Fuji, Wang Haowen. Dual-Modal Emotion Recognition Based on Facial Expression and Body Posture in Video Sequences[J]. Laser & Optoelectronics Progress, 2018, 55(7): 71004

    Zeng Fanxuan, Li Liang, Diao Xinpeng. Iterative Closest Point Algorithm Registration Based on Curvature Features[J]. Laser & Optoelectronics Progress, 2017, 54(1): 11003
    Download Citation