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High accuracy camera calibration
- importance- robustness
Current state
- openCV - matlab- current approach
Problems
- features precise location- errors of corner location - errors of ellipse center - perspective(radial) warp
Systematic noise
- from location errors - from luminance offsets
High accuracy calibration
- introduction to high accuracy - old style calibration without errors - subpixel accuracy - precise marker location
Digital image correlation
frontal image (fronto-parallel)
Digital image correlation
brief intro onto DIC precision(sort of precise optical flow)
Digital image correlation
- circular marker approach- model based- symmetric
Bundle adjustment
- imperfection of calibration pattern - real feature locations
Numeric problems
- importance of parametrization- optimization stuck- different cost functions
Uncertainty
- correct uncertainty estimation- cross correlation- parameters elimination
Just do it
- how to eliminate errors from symmetric correlation?
- different types of parametrization
- new types of fiducial markers
- contribute to openCV, add your name to CV history
list of sources
1. «Advanced geometric camera calibration for machine vision» Minh Vo,Zhaoyang Wang,Long Luu,and Jun Ma
2. «Precision Landmark Location for Machine Vision and Photogrammetry», Jose A.Gutierrez , Brian S.R. Armstrong
3. «Image Correlation for Shape, Motion and Deformation Measurements», Michael A. Sutton, Jean-José Orteu, Hubert W. Schreier
Questions?
