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Multifaceted Geometric Assessment towards Simplified Urban Surfaces Built by 3D Reconstruction

1
College of Space Information, Space Engineering University, Beijing 101416, China
2
State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, China
*
Authors to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(8), 360; https://doi.org/10.3390/ijgi8080360
Received: 14 May 2019 / Revised: 31 July 2019 / Accepted: 7 August 2019 / Published: 14 August 2019
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Abstract

Large-scale three-dimensional (3D) reconstruction from multi-view images is used to generate 3D mesh surfaces, which are usually built for urban areas and are widely applied in many research hotspots, such as smart cities. Their simplification is a significant step for 3D roaming, pattern recognition, and other research fields. The simplification quality has been assessed in several studies. On the one hand, almost all studies on surface simplification have measured simplification errors using the surface comparison tool Metro, which does not preserve sufficient detail. On the other hand, the reconstruction precision of urban surfaces varies as a result of homogeneity or heterogeneity. Therefore, it is difficult to assess simplification quality without surface classification. These difficulties are addressed in this study by first classifying urban surfaces into planar surfaces, detailed surfaces, and urban frameworks according to the simplification errors of different types of surfaces and then measuring these errors after sampling. A series of assessment indexes are also provided to contribute to the advancement of simplification algorithms. View Full-Text
Keywords: surface assessment; error measurement; surface simplification; urban surfaces; 3D reconstruction surface assessment; error measurement; surface simplification; urban surfaces; 3D reconstruction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Liu, S.; Yi, H.; Chen, X.; Wang, D.; Jin, W. Multifaceted Geometric Assessment towards Simplified Urban Surfaces Built by 3D Reconstruction. ISPRS Int. J. Geo-Inf. 2019, 8, 360.

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