Apply filtering to the disparity map

filtered_disparity_map = obj.filter(disparity_map_left, disparity_map_right, left_view)
filtered_disparity_map = obj.filter(..., 'OptionName',optionValue, ...)

Input

• disparity_map_left disparity map of the left view, 1 channel int16 type. Implicitly assumes that disparity values are scaled by 16 (one-pixel disparity corresponds to the value of 16 in the disparity map). Disparity map can have any resolution, it will be automatically resized to fit left_view resolution.
• disparity_map_right optional argument, some implementations might also use the disparity map of the right view to compute confidence maps, for instance. Pass an empty matrix [] if not used.
• left_view left view of the original stereo-pair to guide the filtering process, 8-bit single-channel or three-channel image.

Output

• filtered_disparity_map output disparity map.

Options

• ROI region of the disparity map to filter. Optional, usually it should be set automatically. Not set by default.
• RightView optional argument, some implementations might also use the right view of the original stereo-pair. Not set by default.