Global Optimization through Rotation Space Search
Author:
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/s11263-008-0186-9.pdf
Reference17 articles.
1. Breuel, T. M. (2003). Implementation techniques for geometric branch-and-bound matching methods. Computer Vision and Image Understanding, 90(3), 258–294.
2. Hartley, R., & Kahl, F. (2007a). Global optimization through searching rotation space and optimal estimation of the essential matrix. In Proceedings of the international conference on computer vision, October 2007.
3. Hartley, R., & Kahl, F. (2007b). Optimal algorithms in multiview geometry. In Proceedings of the Asian conference on computer vision (Vol. 1, pp. 13–34), November 2007.
4. Hartley, R., & Schaffalitzky, F. (2004). L ∞ minimization in geometric reconstruction problems. In Proceedings IEEE conference on computer vision and pattern recognition (pp. 504–509), Washington, DC, June 2004.
5. Hartley, R. I., & Zisserman, A. (2003). Multiple view geometry in computer vision (2nd ed.). Cambridge: Cambridge University Press.
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