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Efficient computation of relative pose for multi-camera systems

Kneip, Laurent; Li, Hongdong


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]

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
Source: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOI: 10.1109/CVPR.2014.64


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