Outlier Removal Using Duality
In this paper we consider the problem of outlier removal for large scale multiview reconstruction problems. An efficient and very popular method for this task is RANSAC. However, as RANSAC only works on a subset of the images, mismatches in longer point tracks may go undetected. To deal with this problem we would like to have, as a post processing step to RANSAC, a method that works on the entire (or a larger) part of the sequence. In this paper we consider two algorithms for doing this. The...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of The 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010)|
|01_Olsson_Outlier_Removal_Using_D_2010.pdf||3.37 MB||Adobe PDF||Request a copy|
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