Camera Calibration
Recovering K, R, t, and lens distortion by least squares, with reprojection error as the verdict.
Key Terms
Radial DistortionDLTLeast SquaresZhang's MethodReprojection ErrorUndistortion
Python Tools
OpenCVNumPyMatplotlib
Textbook Reference
Szeliski Ch.11Hartley & Zisserman Ch.7-8
Topics Covered
- 1Radial and tangential lens distortion models
- 2Direct linear transform for the projection matrix and its decomposition
- 3Least-squares parameter estimation and normalization
- 4Zhang's planar-target calibration method
- 5Reprojection error, residual analysis, and image undistortion
Learning Outcomes
- Set up and solve the DLT least-squares system for calibration
- Explain Zhang's method and the role of a planar target
- Use reprojection error to judge and debug a calibration
Lecture Infographics
9 image files
Lecture Infographics
Lecture PDFs
Camera Calibration
The embedded PDF preview is disabled to reduce Vercel bandwidth usage. Open the lecture file directly in Google Drive for viewing, downloading, or presenting.