Name
Abstract | ||
|---|---|---|
In this paper we introduce the notion of a quiver, which is a feature based on a point and a number of directions. We investigate the constraints different kinds of quivers pose on the camera geometry. In particular we study three types of quivers, having one, two and three directions respec- tively. For these quivers we investigate structure and mo- tion estimation for two minimal cases. For 1-quivers, three such features seen in three affine views yields a (unique) linear solution. For three 3-quivers in three uncalibrated projective views we get up to twelve solutions, but simula- tions show that in most cases we get a unique solution. We also study two-quivers seen in three views, where simula- tions show that such features give more stable estimation of the trifocal tensor, as opposed to only using line or point information. |
Year | Venue | Field |
|---|---|---|
2002 | ICVGIP | Affine transformation,Computer vision,Quiver,Computer science,Artificial intelligence,Motion estimation,Feature based,Trifocal tensor,Projective test |
DocType | Citations | PageRank |
Conference | 2 | 0.36 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Björn Johansson | 1 | 269 | 37.39 |
| Magnus Oskarsson | 2 | 196 | 22.85 |
| Kalle Åström | 3 | 914 | 95.40 |