Name
Abstract | ||
|---|---|---|
Recently, some linear approaches to camera calibration from sphere images are proposed. In this paper, a novel linear approach is proposed by exploiting the identity constraint on the entries of the matrices for the sphere images, which is much simpler and more intuitive than previous linear ones. This novel algorithm has been tested in extensive experiments with respect to noise sensitivity. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.140 | ICPR (1) |
Keywords | Field | DocType |
sphere images,camera calibration,novel linear approach,sphere image,novel algorithm,noise sensitivity,extensive experiment,linear approach,identity constraint,calibration,computer vision | Computer vision,Noise sensitivity,Computer graphics (images),Computer science,Matrix algebra,Matrix (mathematics),Camera auto-calibration,Camera resectioning,Artificial intelligence,Image recovery,Calibration | Conference |
ISSN | ISBN | Citations |
1051-4651 | 0-7695-2521-0 | 1 |
PageRank | References | Authors |
0.37 | 10 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianghua Ying | 1 | 221 | 23.55 |
| Hongbin Zha | 2 | 2206 | 183.36 |