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Seeing double without confusion: Structure-from-motion in highly ambiguous scenes

9 years 2 months ago
Seeing double without confusion: Structure-from-motion in highly ambiguous scenes
3D reconstruction from an unordered set of images may fail due to incorrect epipolar geometries (EG) between image pairs arising from ambiguous feature correspondences. Previous methods often analyze the consistency between different EGs, and regard the largest subset of selfconsistent EGs as correct. However, as demonstrated in [14], such a largest self-consistent set often corresponds to incorrect result, especially when there are duplicate structures in the scene. We propose a novel optimization criteria based on the idea of ‘missing correspondences’. The global minimum of our optimization objective function is associated with the correct solution. We then design an efficient algorithm for minimization, whose convergence to a local minimum is guaranteed. Experimental results show our method outperforms the state-of-the-art.
Nianjuan Jiang, Ping Tan, Loong Fah Cheong
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where CVPR
Authors Nianjuan Jiang, Ping Tan, Loong Fah Cheong
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