Title
Multifaceted Geometric Assessment towards Simplified Urban Surfaces Built by 3D Reconstruction.
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.
Year
DOI
Venue
2019
10.3390/ijgi8080360
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
surface assessment,error measurement,surface simplification,urban surfaces,3D reconstruction
Data mining,Polygon mesh,Homogeneity (statistics),Computer science,Planar,Sampling (statistics),Roaming,3D reconstruction
Journal
Volume
Issue
Citations 
8
8
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Sheng'en Liu100.34
Hui Yi200.34
Xiangning Chen300.34
Decheng Wang400.34
Wei Jin58325.25