AUTOMATIC TEXTURE RECONSTRUCTION OF 3D CITY MODEL FROM OBLIQUE IMAGES
In recent years, the photorealistic 3D city models are increasingly important in various geospatial applications related to virtual city tourism, 3D GIS, urban planning, real-estate management. Besides the acquisition of high-precision 3D geometric data, texture reconstruction is also a crucial st...
| 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: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/341/2016/isprs-archives-XLI-B1-341-2016.pdf |
| Summary: | In recent years, the photorealistic 3D city models are increasingly important in various geospatial applications related to virtual city
tourism, 3D GIS, urban planning, real-estate management. Besides the acquisition of high-precision 3D geometric data, texture
reconstruction is also a crucial step for generating high-quality and visually realistic 3D models. However, most of the texture
reconstruction approaches are probably leading to texture fragmentation and memory inefficiency. In this paper, we introduce an
automatic framework of texture reconstruction to generate textures from oblique images for photorealistic visualization. Our
approach include three major steps as follows: mesh parameterization, texture atlas generation and texture blending. Firstly, mesh
parameterization procedure referring to mesh segmentation and mesh unfolding is performed to reduce geometric distortion in the
process of mapping 2D texture to 3D model. Secondly, in the texture atlas generation step, the texture of each segmented region in
texture domain is reconstructed from all visible images with exterior orientation and interior orientation parameters. Thirdly, to avoid
color discontinuities at boundaries between texture regions, the final texture map is generated by blending texture maps from several
corresponding images. We evaluated our texture reconstruction framework on a dataset of a city. The resulting mesh model can get
textured by created texture without resampling. Experiment results show that our method can effectively mitigate the occurrence of
texture fragmentation. It is demonstrated that the proposed framework is effective and useful for automatic texture reconstruction of
3D city model. |
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| ISSN: | 1682-1750 2194-9034 |