激光与光电子学进展, 2020, 57 (20): 201102, 网络出版: 2020-10-14   

基于卷积神经网络结合改进Harris-SIFT的点云配准方法 下载: 974次

Point Cloud Registration Method Based on Combination of Convolutional Neural Network and Improved Harris-SIFT
作者单位
西安建筑科技大学信息与控制工程学院, 陕西 西安 710055
引用该论文

李昌华, 史浩, 李智杰. 基于卷积神经网络结合改进Harris-SIFT的点云配准方法[J]. 激光与光电子学进展, 2020, 57(20): 201102.

Changhua Li, Hao Shi, Zhijie Li. Point Cloud Registration Method Based on Combination of Convolutional Neural Network and Improved Harris-SIFT[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201102.

参考文献

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李昌华, 史浩, 李智杰. 基于卷积神经网络结合改进Harris-SIFT的点云配准方法[J]. 激光与光电子学进展, 2020, 57(20): 201102. Changhua Li, Hao Shi, Zhijie Li. Point Cloud Registration Method Based on Combination of Convolutional Neural Network and Improved Harris-SIFT[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201102.

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