Abstract
Global 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.
Highlights
Three-dimensional (3D) vision systems have the advantages of high precision and good flexibility, so they are widely applied in various fields
Vision sensors even have the feature of non-overlapping field of view (FOV), which requires that the global calibration methods have high precision and good flexibility
There is no common FOV between the two groups cameras are drawn for the sake of discussion
Summary
Three-dimensional (3D) vision systems have the advantages of high precision and good flexibility, so they are widely applied in various fields. At a MVS, but it is hard to process a long one-dimensional target to calibrate vision sensors et al [16] proposed a global calibration method based on skew laser lines. It avoids the heavy workloads and accuracy losses caused by other targets can be observed from different directions, so that any blind zones would be greatly reduced. This global calibration method can be realized through a one-time operation.
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