EVALUATION OF MODEL RECOGNITION FOR GRAMMAR-BASED AUTOMATIC 3D BUILDING MODEL RECONSTRUCTION
In recent years, 3D city models are in high demand by many public and private organisations, and the steadily growing capacity in both quality and quantity are increasing demand. The quality evaluation of these 3D models is a relevant issue both from the scientific and practical points of view. In t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/63/2016/isprs-archives-XLI-B4-63-2016.pdf |
| Summary: | In recent years, 3D city models are in high demand by many public and private organisations, and the steadily growing capacity in both
quality and quantity are increasing demand. The quality evaluation of these 3D models is a relevant issue both from the scientific and
practical points of view. In this paper, we present a method for the quality evaluation of 3D building models which are reconstructed
automatically from terrestrial laser scanning (TLS) data based on an attributed building grammar. The entire evaluation process has
been performed in all the three dimensions in terms of completeness and correctness of the reconstruction. Six quality measures are
introduced to apply on four datasets of reconstructed building models in order to describe the quality of the automatic reconstruction,
and also are assessed on their validity from the evaluation point of view. |
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| ISSN: | 1682-1750 2194-9034 |