Title :
Superresolution texture maps for multiview reconstruction
Author :
Goldluecke, Bastian ; Cremers, Daniel
Author_Institution :
Comput. Sci. Dept., Univ. of Bonn, Bonn, Germany
fDate :
Sept. 29 2009-Oct. 2 2009
Abstract :
We study the scenario of a multiview setting, where several calibrated views of a textured object with known surface geometry are available. The objective is to estimate a diffuse texture map as precisely as possible. A superresolution image formation model based on the camera properties leads to a total variation energy for the desired texture map, which can be recovered as the minimizer of the functional by solving the Euler-Lagrange equation on the surface. The PDE is transformed to planar texture space via an automatically created conformal atlas, where it can be solved using total variation deblurring. The proposed approach allows to recover a high-resolution, high-quality texture map even from lower-resolution photographs, which is of interest for a variety of image-based modeling applications.
Keywords :
geometry; image resolution; image restoration; image texture; partial differential equations; Euler-Lagrange equation; PDE; camera property; conformal atlas; diffuse texture map; image-based modeling application; multiview reconstruction; planar texture space; superresolution image formation model; superresolution texture maps; surface geometry; total variation deblurring; Cameras; Geometry; Image reconstruction; Image resolution; Rendering (computer graphics); Solid modeling; Spatial resolution; Surface fitting; Surface reconstruction; Surface texture;
Conference_Titel :
Computer Vision, 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4420-5
Electronic_ISBN :
1550-5499
DOI :
10.1109/ICCV.2009.5459378