An Automatic Segmentation Algorithm for Dense Pipeline Point Cloud Data

Huang Kai; Cheng Xiaojun; Jia Dongfeng; Hu Danhua; Hu Minjie

doi:10.3788/CJL201845.1104004

Journals >Chinese Journal of Lasers >Volume 45 >Issue 11 >Page 1104004 > Article

Chinese Journal of Lasers
Vol. 45, Issue 11, 1104004 (2018)

An Automatic Segmentation Algorithm for Dense Pipeline Point Cloud Data

Huang Kai¹, Cheng Xiaojun^1、2, Jia Dongfeng³, Hu Danhua⁴, and Hu Minjie⁵

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

⁴[in Chinese]

⁵[in Chinese]

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DOI: 10.3788/CJL201845.1104004 Cite this Article Set citation alerts

Huang Kai, Cheng Xiaojun, Jia Dongfeng, Hu Danhua, Hu Minjie. An Automatic Segmentation Algorithm for Dense Pipeline Point Cloud Data[J]. Chinese Journal of Lasers, 2018, 45(11): 1104004 Copy Citation Text

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References

CLP Journals

[1] Meishu Gui, Jin Hou, Guanghong Tan, Peijun Wu. Global Illumination Algorithm Based on Voxel Cone Tracing[J]. Acta Optica Sinica, 2019, 39(6): 0620001

[2] Meishu Gui, Jin Hou, Guanghong Tan, Peijun Wu. Global Illumination Algorithm Based on Voxel Cone Tracing[J]. Acta Optica Sinica, 2019, 39(6): 0620001

Huang Kai, Cheng Xiaojun, Jia Dongfeng, Hu Danhua, Hu Minjie. An Automatic Segmentation Algorithm for Dense Pipeline Point Cloud Data[J]. Chinese Journal of Lasers, 2018, 45(11): 1104004

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