Efficient computation of relative pose for multi-camera systems
We present a novel solution to compute the relative pose of a generalized camera. Existing solutions are either not general, have too high computational complexity, or require too many correspondences, which impedes an efficient or accurate usage within Ransac schemes. We factorize the problem as a low-dimensional, iterative optimization over relative rotation only, directly derived from well-known epipolar constraints. Common generalized cameras often consist of camera clusters, and give rise...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition|
|01_Kneip_Efficient_computation_of_2014.pdf||385.87 kB||Adobe PDF||Request a copy|
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