Abstract
Camera calibration has been studied for many years and there are many methods available to find the parameters precisely. However, most existing methods require information of the known scene points in general three-dimensional positions for the calibration. A simple, geometrically intuitive method is proposed. The intrinsic parameters of the camera and the rotation matrix of the projection matrix are determined by using the vanishing points in each image. Our approach does not need any a priori information about the cameras being used. Computer simulations and real data experiments are carried out to validate our method. ©2007 IEEE.
| Original language | English |
|---|---|
| Title of host publication | Proceedings 14th International Conference on Mechatronics and Machine Vision in Practice, M2VIP2007 |
| Pages | 44-47 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | 14th International Conference on Mechatronics and Machine Vision in Practice (M2VIP 2007) - Xiamen University, Xiamen, China Duration: 3 Dec 2007 → 5 Dec 2007 |
Conference
| Conference | 14th International Conference on Mechatronics and Machine Vision in Practice (M2VIP 2007) |
|---|---|
| Place | China |
| City | Xiamen |
| Period | 3/12/07 → 5/12/07 |
Research Keywords
- Camera calibration
- Projection matrix
- Rotation matrix
- Vanishing point
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