A Super-Resolution Framework for High-Accuracy Multiview Reconstruction-Reference-Cited by-同舟云学术

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A Super-Resolution Framework for High-Accuracy Multiview Reconstruction

Published:2013-08-25 Issue:2 Volume:106 Page:172-191
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Goldlücke Bastian,Aubry Mathieu,Kolev Kalin,Cremers Daniel

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s11263-013-0654-8.pdf

Reference46 articles.

1. Allne, C., Pons, J. P., & Keriven, R. (2008). Seamless image-based texture atlases using multi-band blending. In 19th International Conference on Pattern Recognition.

2. Attouch, H., Buttazzo, G., & Michaille, G. (2006). Variational analysis in Sobolev and BV spaces. MPS-SIAM series on optimization. Philadelphia, PA: Society for Industrial and Applied Mathematics.

3. Aubry, M., Kolev, K., Goldluecke, B., & Cremers, D. (2011). Decoupling photometry and geometry in dense variational camera calibration. In Proceedings of ICCV.

4. Baker, S., & Kanade, T. (2002). Limits on super-resolution and how to break them. PAMI, 24(9), 1167–1183.

5. Bernardini, F., Martin, I., & Rushmeier, H. (2001). High-quality texture reconstruction from multiple scans. IEEE Transactions on Visualization and Computer Graphics, 7(4), 318–332.

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