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Size-Adaptive Texture Atlas Generation and Remapping for 3D Urban Building Models

Bibliographic Data

ID22031245
AuthorsXuequan Zhang (0000-0002-8755-2443, Wuhan University of Technology), Wei Liu (0000-0002-5949-0302, Wuhan University of Technology, corresponding author), Bing Liu (0000-0003-2874-2746, Wuhan University of Technology), Xin Zhao (0000-0002-6232-9835, Wuhan University of Technology), Zihe Hu (0000-0001-6936-4759, Wuhan University)
Year2021
Volume10
Issue12
Pages798
Publication date2021-11-29
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10120798
OpenAlexW3216338367
LanguageEN
References cited19

A high-fidelity 3D urban building model requires large quantities of detailed textures, which can be non-tiled or tiled ones. The fast loading and rendering of these models remain challenges in web-based large-scale 3D city visualization. The traditional texture atlas methods compress all the textures of a model into one atlas, which needs extra blank space, and the size of the atlas is uncontrollable. This paper introduces a size-adaptive texture atlas method that can pack all the textures of a model without losing accuracy and increasing extra storage space. Our method includes two major steps: texture atlas generation and texture atlas remapping. First, all the textures of a model are classified into non-tiled and tiled ones. The maximum supported size of the texture is acquired from the graphics hardware card, and all the textures are packed into one or more atlases. Then, the texture atlases are remapped onto the geometric meshes. For the triangle with the original non-tiled texture, new texture coordinates in the texture atlases can be calculated directly. However, as for the triangle with the original tiled texture, it is clipped into many unit triangles to apply texture mapping. Although the method increases the mesh vertex number, the increased geometric vertices have much less impact on the rendering efficiency compared with the method of increasing the texture space. The experiment results show that our method can significantly improve building model rendering efficiency for large-scale 3D city visualization

3D computer graphics · Bidirectional texture function · Computer graphics · Computer vision · Graphics hardware · Image processing · Image texture · Polygon mesh · Projective texture mapping · Software rendering · Texture atlas · Texture compression · Texture filtering · Texture mapping · Texture memory · Texture synthesis · Visualization · 3D Shape Modeling and Analysis · Computational Geometry and Mesh Generation · Computer Graphics and Visualization Techniques · Computer Science · Artificial Intelligence · Geology · Theoretical Computer Science

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