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18th International Conference on Pattern Recognition (ICPR'06) Volume 1
Automatic Pose Recovery for High-Quality Textures Generation
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Jinhui Hu, University of Southern California
Suya You, University of Southern California
Ulrich Neumann, University of Southern California
This paper proposes new techniques to generate high quality textures for urban building models by automatic camera calibration and pose recovery. The camera pose is decomposed into an orientation and a translation, an edge error model and knowledge-based filters are used to estimate correct vanishing points with heavy trees occlusion, and the vanishing points are used for the camera calibration and orientation estimation. We propose new techniques to estimate the camera orientation with infinite vanishing points and translation with under-constraints. The final textures are generated using color calibration and blending with the recovered pose. A number of textures for outdoor buildings are automatically generated, which shows the effectiveness of our algorithms.
Citation:
Jinhui Hu, Suya You, Ulrich Neumann, "Automatic Pose Recovery for High-Quality Textures Generation," icpr, vol. 1, pp.561-565, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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