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UCSD Computer Vision

Globally Optimal Structure and Motion Estimation

Manmohan Chandraker, Sameer Agarwal, Fredrik Kahl, David Kriegman, Serge Belongie


Synopsis

In this line of work, we persent globally optimal solutions to several important problems in multiview geometry. Structure from motion problems are inherently non-convex and these works rely on efficient construction of relaxations using developments in convex optimization and algebraic geometry.

More info on: http://vision.ucsd.edu/~manu/research.html#global

Non UCSD Vision People also Involved

David Nistér (Microsoft Research)

Related Publications

2009
Chandraker M., Agarwal S., Kriegman D., Belongie S., "Globally Optimal Algorithms for Stratified Autocalibration", International Journal of Computer Vision (IJCV), no. to appear, 2009. [BibTex]
2008
Chandraker M., Kriegman D., "Globally Optimal Bilinear Programming for Computer Vision Applications", CVPR, Anchorage, Alaska, 06/2008. [BibTex]
Kahl F., Agarwal S., Chandraker M., Kriegman D., Belongie S., "Practical Global Optimization for Multiview Geometry", IJCV, vol. 79, no. 3, pp. 271-284, 2008. [BibTex][pdf]
2007
Chandraker M., Agarwal S., Kahl F., Kriegman D., Nister D., "Autocalibration via Rank-Constrained Estimation of the Absolute Quadric", CVPR, Minneapolis, 2007. [BibTex]
Chandraker M., Agarwal S., Kriegman D., Belongie S., "Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration", ICCV, 2007. [BibTex]
2006
Agarwal S., Chandraker M., Kahl F., Kriegman D., Belongie S., "Practical Global Optimization for Multiview Geometry ", European Conference on Computer Vision (ECCV), vol. 1, Graz, Austria, pp. 592-605, 2006. [BibTex][pdf]