Name
Abstract | ||
|---|---|---|
We address the problem of moving object reconstruction. Several methods have been published in the past 20 years including stereo reconstruction as well as multi-view factorization methods. In general, reconstruction algorithms estimate the 3D structure of the object and the camera parameters in a non-optimal way and then a nonlinear optimization method refines the estimated camera parameters and 3D object coordinates. In this paper, an adjustment method is proposed which is the fast version of the well-known down-hill alternation method. The novelty which yields the high speed of the algorithm is that the steps of the alternation give optimal solution to the subproblems by closed-form formulas. The proposed algorithm is discussed here and it is compared to the widely used bundle adjustment method. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74272-2_62 | CAIP |
Keywords | Field | DocType |
estimated camera parameter,well-known down-hill alternation method,bundle adjustment method,reconstruction algorithm,camera parameter,nonlinear optimization method,stereo reconstruction,object reconstruction,adjustment method,multi-view factorization method,precise weak-perspective factorization,bundle adjustment | Computer vision,Computer science,Bundle adjustment,Nonlinear programming,Stereo reconstruction,Factorization,Artificial intelligence,Novelty,Alternation (linguistics) | Conference |
Volume | ISSN | Citations |
4673 | 0302-9743 | 2 |
PageRank | References | Authors |
0.40 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Levente Hajder | 1 | 43 | 12.55 |
| Ákos Pernek | 2 | 7 | 1.84 |
| Csaba Kazó | 3 | 6 | 1.16 |