Globally Optimal Estimates for Geometric Reconstruction Problems
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/s11263-006-0015-y.pdf
Reference32 articles.
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2. Boyd, S. and Vandenberghe, L. 2004. Convex Optimization, Cambridge University Press.
3. Chesi, G., Garullli, A., Vicino, A., and Cipolla, R. 2002. Estimating the fundamental matrix via constrained least-squares: A convex approach. IEEE Trans. Pattern Analysis and Machine Intelligence, 24(3):397–401.
4. Fazel, M., Hindi, H., and Boyd, S. 2004. Rank minimization and applications in system theory. In American Control Conference, Vol. 4, pp. 3273–3278.
5. Fusiello, A., Benedetti, A., Farenzena, M., and Busti, A. 2004. Globally convergent autocalibration using interval analysis. IEEE Trans. Pattern Analysis and Machine Intelligence, 26(12):1633–1638.
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