pycvcam.core.Distortion

Note

See the main pycvcam.core.Transform documentation for more details on how to use transformations.

See also

The implemented distortion models are:

• pycvcam.NoDistortion (does not apply any distortion transformation)

• pycvcam.Cv2Distortion (OpenCV distortion model)

• pycvcam.FisheyeDistortion (OpenCV fisheye distortion model)

• pycvcam.ZernikeDistortion (Zernike polynomial based distortion model)

Distortion Class

class Distortion(parameters=None, constants=None)

Note

This class represents the distortion transformation, which is the central step of the process from the world_points to the image_points. This is the abstract class that defines the interface for distortion transformations.

This base class, set the input_dim and output_dim to 2 and add the aliases :

• distorted_points and x_d for the result of the transformation.

• normalized_points and x_n for the result of the inverse transformation.

To process the transformation, the methods distort and undistort are provided, which are aliases for the transform and inverse_transform methods respectively.

Parameters:

• parameters (Optional[ArrayLike])

• constants (Optional[ArrayLike])

Adding Public Methods of Distortion subclasses

Distortion.distort(normalized_points, *[, ...])	Alias for the transform method, which applies the distortion transformation to the points.
Distortion.undistort(distorted_points, *[, ...])	Alias for the inverse_transform method, which applies the inverse distortion transformation to the points.