Global Calibration of Multiple Cameras Based on Sphere Targets
AbstractGlobal calibration methods for multi-camera system are critical to the accuracy of vision measurement. Proposed in this paper is such a method based on several groups of sphere targets and a precision auxiliary camera. Each camera to be calibrated observes a group of spheres (at least three), while the auxiliary camera observes all the spheres. The global calibration can be achieved after each camera reconstructs the sphere centers in its field of view. In the process of reconstructing a sphere center, a parameter equation is used to describe the sphere projection model. Theoretical analysis and computer simulation are carried out to analyze the factors that affect the calibration accuracy. Simulation results show that the parameter equation can largely improve the reconstruction accuracy. In the experiments, a two-camera system calibrated by our method is used to measure a distance about 578 mm, and the root mean squared error is within 0.14 mm. Furthermore, the experiments indicate that the method has simple operation and good flexibility, especially for the onsite multiple cameras without common field of view. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Sun, J.; He, H.; Zeng, D. Global Calibration of Multiple Cameras Based on Sphere Targets. Sensors 2016, 16, 77.
Sun J, He H, Zeng D. Global Calibration of Multiple Cameras Based on Sphere Targets. Sensors. 2016; 16(1):77.Chicago/Turabian Style
Sun, Junhua; He, Huabin; Zeng, Debing. 2016. "Global Calibration of Multiple Cameras Based on Sphere Targets." Sensors 16, no. 1: 77.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.