Refinement of the disparity maps

Theoretical basics

The purpose of this step is to refine the disparity identified in the previous step.

The available refinement method is :

• Interpolation : It consists on 3 differents steps:

  • First, the cost_volumes is reshaped to obtain the 2D (disp_row, disp_col) costs map for each pixel, so we will obtain (row * col) 2D cost maps.

  • The cost map of each pixel is interpolated using scipy to obtain a continuous function.

  • Then, the interpolated functions are minimized using scipy to obtain the refined disparities.

Configuration and parameters

Name	Description	Type	Default value	Available value	Required
refinement_method	Refinement method	string		“interpolation”	No

Example

{
    "input" :
    {
        // input content
    },
    "pipeline" :
    {
        // ...
        "refinement":
        {
           "refinement_method": "interpolation"
        },
        // ...
    }
}