Abstract
Despite the wide application of bilinear problems to problems both in computer vision and in other fields, their behaviour under the effects of noise is still poorly understood. In this paper, we show analytically that marginal distributions on the solution components of a bilinear problem can be bimodal, even with Gaussian measurement error. We demonstrate and compare three different methods of estimating the covariance of a solution. We show that the Hessian at the mode substantially underestimates covariance.
| Original language | English (US) |
|---|---|
| Pages | 622-627 |
| Number of pages | 6 |
| State | Published - 2001 |
| Externally published | Yes |
| Event | 8th International Conference on Computer Vision - Vancouver, BC, United States Duration: Jul 9 2001 → Jul 12 2001 |
Other
| Other | 8th International Conference on Computer Vision |
|---|---|
| Country/Territory | United States |
| City | Vancouver, BC |
| Period | 7/9/01 → 7/12/01 |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition