|
Optimal Consensus Maximization for Robust Estimation of Multi-view Geometry in Computer Vision| old_uid | 7365 |
|---|
| title | Optimal Consensus Maximization for Robust Estimation of Multi-view Geometry in Computer Vision |
|---|
| start_date | 2009/09/24 |
|---|
| schedule | 11h-13h |
|---|
| online | no |
|---|
| summary | Many Multi-View-Geometry problems in Computer Vision eventually boil down to a robust estimation problem where the task is to estimate a parametric model form a set of noisy measurements often containing outliers (gross error) as well. To solve such a robust estimation problem, vision researchers have adopted various techniques including the well-known RANSAC. |
|---|
| responsibles | <not specified> |
|---|
| |
|