Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 341-347, 2016
03 Jun 2016
Junhua Kang, Fei Deng, Xinwei Li, and Fang Wan School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan430079, PR.China
Keywords: Texture Reconstruction, 3D City Model, Mesh Parameterization, Oblique Image Abstract. 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.
Conference paper (PDF, 1230 KB)

Citation: Kang, J., Deng, F., Li, X., and Wan, F.: AUTOMATIC TEXTURE RECONSTRUCTION OF 3D CITY MODEL FROM OBLIQUE IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 341-347, doi:10.5194/isprs-archives-XLI-B1-341-2016, 2016.

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