pandora.refinement.quadratic

This module contains functions associated to the quadratic method used in the refinement step.

Module Contents

Classes

Quadratic

Quadratic class allows to perform the subpixel cost refinement step
class pandora.refinement.quadratic.Quadratic(**cfg: str)[source]

Bases: pandora.refinement.refinement.AbstractRefinement

Quadratic class allows to perform the subpixel cost refinement step

static check_conf(**cfg: str) → Dict[str, str][source]

Add default values to the dictionary if there are missing elements and check if the dictionary is correct

Parameters:

cfg (dict) – refinement configuration

Return cfg:

refinement configuration updated

Return type:

dict

desc() → None[source]

Describes the subpixel refinement method :return: None

static refinement_method(cost: numpy.ndarray, disp: float, measure: str) → Tuple[float, float, int][source]

Return the subpixel disparity and cost, by fitting a quadratic curve

Parameters:

  • cost (1D numpy array : [cost[disp -1], cost[disp], cost[disp + 1]]) – cost of the values disp - 1, disp, disp + 1

  • disp (float) – the disparity

  • measure – the type of measure used to create the cost volume

  • measure – string = min | max

Returns:

the disparity shift, the refined cost and the state of the pixel ( Information: calculations stopped at the pixel step, sub-pixel interpolation did not succeed )

Return type:

float, float, int