machinevisiontoolbox.Camera.CentralCamera.distortion
- property CentralCamera.distortion
Set/Get distortion model (base method)
- Returns:
distortion model
- Return type:
array_like()
The distortion model is a vector of various lengths that can be read or written. It is passed directly to OpenCV functions which define how it is used:
4-element vector, \([k_1, k_2, p_1, p_2]\)
5-element vector, \([k_1, k_2, p_1, p_2, k_3]\)
8-element vector, \([k_1, k_2, p_1, p_2, k_3, k_4, k_5, k_6]\)
12-element vector, \([k_1, k_2, p_1, p_2, k_3, k_4, k_5, k_6, s_1, s_2, s_3, s_4]\),
14-element vector, \([k_1, k_2, p_1, p_2, k_3, k_4, k_5, k_6, s_1, s_2, s_3, s_4, \tau_x, \tau_y]\)
The elements \(k_i\) are radial distortion coefficients, \(p_i\) are tangential distortion coefficients, \(s_i\) are thin prism distortion coefficients, and \(\tau_i\) apply when the camera’s image plane is tilted with respect to the lens.
If the vector is
None, then zero distortion (all coefficients are zero) is assumed.- Seealso: