Name
Abstract | ||
|---|---|---|
In this paper, a new line-based camera calibration technique is presented. Firstly, the relation between dimensional line parameters and projective line parameters is deduced. Using more than three dimensional lines which are not parallel with each other, the camera intrinsic parameters can be determined by solving linear equations. Experiment results show that in same noise level the mean attained by this method is more closer to factual value and MSE is smaller by about 65% than classic point-based technique. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11596448_150 | CIS (1) |
Keywords | Field | DocType |
dimensional line,classic point-based technique,projective line parameter,new line-based camera calibration,linear equation,camera intrinsic parameter,experiment result,noise level,dimensional line parameter,line-based camera calibration,factual value,three dimensional,linear equations,camera calibration | Linear equation,Discrete mathematics,Projective line,Simulation,Mean squared error,Algorithm,Focal length,Perspective (graphical),Camera resectioning,Calibration,Focus (optics),Mathematics | Conference |
Volume | ISSN | ISBN |
3801 | 0302-9743 | 3-540-30818-0 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiuqin Chu | 1 | 0 | 1.35 |
| Fangming Hu | 2 | 10 | 3.94 |
| Yushan Li | 3 | 0 | 1.35 |