Automated Texture Mapping of 3D City Models With Oblique Aerial Imagery

Authors:
Christian Frueh;Russell Sammon;Avideh Zakhor
Affiliations:
University of California, Berkeley;University of California, Berkeley;University of California, Berkeley
Venue:
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Year:
2004

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Abstract

This paper describes an approach to texture mapping a 3D city model obtained from aerialand ground-based laser scans with oblique aerial imagery. First, the images are automatically registered by matching 2D image lines with projections of 3D lines from the city model. Then, for each triangle in the model, the optimal image is selected by taking into account occlusion, image resolution, surface normal orientation, and coherence with neighboring triangles. Finally, the utilized texture patches from all images are combined into one texture atlas for compact representation and efficient rendering. We evaluate our approach on a data set of downtown Berkeley.