Abstract
We present a family of "normal" distributions over a matrix group together with a simple method for estimating its parameters. In particular, the mean of a set of elements can be calculated. The approach is applied to planar projective homographies, showing that using priors defined in this way improves object recognition.
Original language | English |
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Pages (from-to) | 1666-1670 |
Number of pages | 5 |
Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Volume | 27 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2005 |
Keywords
- Bayesian statistics
- Geodesics
- Homography
- Lie groups
- Normal distribution