2020
DOI: 10.1016/j.isprsjprs.2020.09.004
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Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints

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Cited by 39 publications
(18 citation statements)
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References 41 publications
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“…Considering that plane segmentation directly affects the regularisation of the planar parameters, several methods introduced plane regularisation to improve the integrity of planar primitives (Oesau et al, 2016). Wang et al (2020) adopted a surface optimisation scheme that takes into account structural closure constraints and the adjacency of candidate planes, with the final 3D polygonal surfaces of the building enforced to be consistent with a priori geometric structures.…”
Section: Planar Primitive-based Building Reconstructionmentioning
confidence: 99%
“…Considering that plane segmentation directly affects the regularisation of the planar parameters, several methods introduced plane regularisation to improve the integrity of planar primitives (Oesau et al, 2016). Wang et al (2020) adopted a surface optimisation scheme that takes into account structural closure constraints and the adjacency of candidate planes, with the final 3D polygonal surfaces of the building enforced to be consistent with a priori geometric structures.…”
Section: Planar Primitive-based Building Reconstructionmentioning
confidence: 99%
“…Most studies tend to obtain approximate polyhedral shapes with the inliers after particular primitive fitting [ 18 , 19 ]. Works that aim to enforce the surfaces to be consistent with prior geometries are given as well [ 10 , 20 ].…”
Section: Related Workmentioning
confidence: 99%
“…Integration of aerial and ground images [20,21] is beneficial to enhance the surface reconstruction in urban environments. Additional approaches [22][23][24][25][26] have been developed to augment 3D building models. However, most of them focus on building façades and surface optimization via feature matching in urban areas but not in the context of street objects, such as road signs.…”
Section: Oblique Photogrammetry-based Modeling and 3d Scene Augmentationmentioning
confidence: 99%