Name
Abstract | ||
|---|---|---|
The calibration of the micro-vision system is an fundamental issue in the micro-vision based measurement and control areas. The calibration methods for conventional macro-vision system are not suitable for telecentric micro-vision system. This paper proposes a calibration method with ball objects for the telecentric micro-vision system, which is used for the 3-dimensional relative pose measurement. The ball objects are low-cost and easy to be made. The intrinsic parameters and depth of field of camera are calibrated with a one-ball object. The angle between the camerau0027s optical axis and the linear stageu0027s axis is considered, and the image offset matrix caused by this angle is calibrated using the one-ball object. Furthermore, the image Jacobian matrices of two cameras are obtained by calibrating the two camerasu0027 rotation transformation using a two-ball object. The experimental results verify the calibration methodsu0027 effectiveness and accuracy. |
Year | Venue | Field |
|---|---|---|
2016 | CASE | Computer vision,Jacobian matrix and determinant,Computer graphics (images),Machine vision,Computer science,Linear stage,Optical axis,Artificial intelligence,Rotation (mathematics),Offset (computer science),Calibration,Depth of field |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fangbo Qin | 1 | 11 | 4.78 |
| De Xu | 2 | 142 | 25.04 |
| Fei Shen | 3 | 5 | 2.54 |
| Dapeng Zhang | 4 | 1 | 2.65 |
| Xilong Liu | 5 | 25 | 6.09 |