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WACV
2007
IEEE

Nonlinear Mean Shift for Robust Pose Estimation

9 years 12 months ago
Nonlinear Mean Shift for Robust Pose Estimation
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering problem in the presence of outliers. We compare our method to RANSAC, which is the standard robust estimator for computer vision problems. We also show that under fairly general assumptions our method is provably better than RANSAC. Synthetic and real examples to support our claims are provided.
Raghav Subbarao, Yakup Genc, Peter Meer
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where WACV
Authors Raghav Subbarao, Yakup Genc, Peter Meer
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