Visual Perception: Camera Calibration
Camera Calibration using DLT and Zhang’s Method from theoretical math explanation to MATLAB code application
We learned what Camera Calibration Matrix is in the previous post of this series. A general issue in Visual Perception is that usually, we need to calibrate our cameras before using them. That means, we need to estimate Camera Calibration Matrix parameters (intrinsic parameters) and extrinsic parameters (rotation and translation matrix of the camera)
To estimate these parameters, we will examine different methods but for each case, we will be using some 3D world points and their 2D projected image points.
- DLT (Direct Linear Transform)
DLT is a general way to create linear equations for a specific problem and put these linear equations in matrices in such a way we find the “unknowns” of the equation. For this purpose, we try to have an AX = 0 linear equation form where A includes the known data and X includes the unknown data. So the target is to find the X matrix.
Let’s start to apply DLT for our calibration problem then. We have a homogenous 3D world point, a P projection matrix, and a 2D homogenous image point:
