Table of Contents
Lens distortion can significantly affect the accuracy of robot vision systems. Correct calibration techniques are essential to mitigate these effects and improve system performance.
Types of Lens Distortion
There are two main types of lens distortion: radial and tangential. Radial distortion causes straight lines to appear curved, especially near the edges of the image. Tangential distortion results from lens misalignment, leading to skewed images.
Calibration Techniques
Calibration involves capturing images of a known pattern, such as a checkerboard, from different angles. Software algorithms then analyze these images to estimate distortion parameters. Common techniques include Zhang’s method and iterative optimization approaches.
Implementing Calibration in Robot Vision
Once calibration parameters are obtained, they are applied to correct images in real-time or during post-processing. This correction improves the accuracy of object detection, distance measurement, and navigation tasks.
- Capture multiple images of a calibration pattern.
- Use calibration software to estimate distortion coefficients.
- Apply correction algorithms to raw images.
- Validate calibration accuracy with test images.