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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIV-4/W1-2020
https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-49-2020
© Author(s) 2020. 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-XLIV-4-W1-2020-49-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
03 Sep 2020
| 03 Sep 2020
POINT CLOUD ROOM SEGMENTATION BASED ON INDOOR SPACES AND 3D MATHEMATICAL MORPHOLOGY
E. Frías
Universidade de Vigo, CINTECX, Applied Geotechnologies Research Group, Campus universitario de Vigo, As Lagoas, Marcosende 36310 Vigo, Spain
J. Balado
Universidade de Vigo, CINTECX, Applied Geotechnologies Research Group, Campus universitario de Vigo, As Lagoas, Marcosende 36310 Vigo, Spain
Delft University of Technology, Faculty of Architecture and the Built Environment, GIS Technology Section, 2628 BL Delft, the Netherlands
L. Díaz-Vilariño
Universidade de Vigo, CINTECX, Applied Geotechnologies Research Group, Campus universitario de Vigo, As Lagoas, Marcosende 36310 Vigo, Spain
H. Lorenzo
Universidade de Vigo, CINTECX, Applied Geotechnologies Research Group, Campus universitario de Vigo, As Lagoas, Marcosende 36310 Vigo, Spain
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 385–391, https://doi.org/10.5194/isprs-annals-IV-2-W4-385-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-385-2017, 2017
H. Tran, K. Khoshelham, A. Kealy, and L. Díaz-Vilariño
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 401–406, https://doi.org/10.5194/isprs-annals-IV-2-W4-401-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-401-2017, 2017
J. Balado, L. Díaz-Vilariño, P. Arias, and I. Garrido
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 287–293, https://doi.org/10.5194/isprs-annals-IV-2-W4-287-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-287-2017, 2017
L. Díaz-Vilariño, E. Verbree, S. Zlatanova, and A. Diakité
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 345–352, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, 2017
K. Khoshelham, L. Díaz Vilariño, M. Peter, Z. Kang, and D. Acharya
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 367–372, https://doi.org/10.5194/isprs-archives-XLII-2-W7-367-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-367-2017, 2017
M. Scaioni, E. Rosina, A. L’Erario, and L. Dìaz-Vilariño
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 153–160, https://doi.org/10.5194/isprs-archives-XLII-5-W1-153-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-153-2017, 2017
L. Díaz-Vilariño, P. Boguslawski, K. Khoshelham, H. Lorenzo, and L. Mahdjoubi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 275–281, https://doi.org/10.5194/isprs-archives-XLI-B4-275-2016, https://doi.org/10.5194/isprs-archives-XLI-B4-275-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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