激光与光电子学进展, 2017, 54 (1): 011003, 网络出版: 2017-01-17   

基于曲率特征的迭代最近点算法配准研究 下载: 824次

Iterative Closest Point Algorithm Registration Based on Curvature Features
作者单位
中国矿业大学环境与测绘学院, 江苏 徐州 221116
引用该论文

曾繁轩, 李亮, 刁鑫鹏. 基于曲率特征的迭代最近点算法配准研究[J]. 激光与光电子学进展, 2017, 54(1): 011003.

Zeng Fanxuan, Li Liang, Diao Xinpeng. Iterative Closest Point Algorithm Registration Based on Curvature Features[J]. Laser & Optoelectronics Progress, 2017, 54(1): 011003.

参考文献

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曾繁轩, 李亮, 刁鑫鹏. 基于曲率特征的迭代最近点算法配准研究[J]. 激光与光电子学进展, 2017, 54(1): 011003. Zeng Fanxuan, Li Liang, Diao Xinpeng. Iterative Closest Point Algorithm Registration Based on Curvature Features[J]. Laser & Optoelectronics Progress, 2017, 54(1): 011003.

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