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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-417-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-417-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2022
| 30 May 2022
AUTOMATIC TEXTURE MAPPING METHOD FOR 3D MODELS TO CIRCUMVENT OCCLUSION THROUGH 3D SPATIAL THROUGH-VIEW RELATIONSHIPS BETWEEN IMAGES,MODELS, AND POINT CLOUDS
H. Liu
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
L. Xie
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
X. Li
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
W. X. Wang
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 605–611, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-605-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-605-2024, 2024
W. X. Wang, G. X. Zhong, J. J. Huang, X. M. Li, and L. F. Xie
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Y. Deng, S. Tang, W. Wang, X. Li, and R. Guo
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Y. Wang, W. Wang, X. Li, W. Zhang, and R. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 375–380, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-375-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-375-2020, 2020
X. M. Li, W. X. Wang, S. J. Tang, J. Z. Xia, Z. G. Zhao, Y. Li, Y. Zheng, and R. Z. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 477–483, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-477-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-477-2020, 2020
J. X. Wang, W. X. Wang, C. Y. Wang, H. Zhu, W. Y. He, and S. Y. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 103–109, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-103-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-103-2020, 2020
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