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 |
|---|---|
| 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
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