User Manual

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The generated disparity is stored in the output images Disparity aux channel, where the left
image contains the left > right disparity, and the right image contains the right > left disparity.
Because disparity works based on matching regions in the left eye to regions in the right eye by
comparing colors and gradients of colors, colors in the two eyes must be as similar as possible.
Thus, it is a good idea to color correct ahead of time. It is also a good idea to crop away any
black borders around the frames, as this confuses the disparity tracking (and also causes
problems if you are using the Color Corrector’s histogram match ability to do the color matching).
In Stack mode, left and right outputs deliver the same image. If the left and right images have a
global vertical offset larger than a few pixels, it can help the disparity tracking algorithm if you
vertically align features in the left/right eyes ahead of time using a Transform node. Small details
tend to get lost in the tracking process when you have a large vertical offset between left/right eyes.
Consider using a SmoothMotion node to smooth your disparity channel. This can help reduce
time-dependent flickering when warping an eye. Also, think about whether you want to remove
lens distortion before computing disparity. If you do not, your Disparity map becomes a
combined Disparity and Lens Distortion map. This can have advantages and disadvantages.
One disadvantage is that if you then do a vertical alignment, you are also removing lens
distortion effects. When trying to reduce the computation time, start first with adjusting the
Proxy and Number of Iterations sliders.
The Disparity node does not support RoI or DoD.
Inputs
The two inputs on the Disparity node are used to connect the left and right images.
Left Input: The orange input is used to connect either the left eye image or the
stacked image.
Right Input: The green input is used to connect the right eye image. This input is
available only when the Stack Mode menu is set to Separate.
Outputs
Unlike most nodes in Fusion, Disparity has two outputs for the left and right eye.
Left Output: This holds the left eye image with a new disparity channel, or a Stacked Mode
image with a new disparity channel.
Right Output: This holds the right eye image with a new disparity channel. This output is visible
only if Stack Mode is set to Separate.
Basic Node Setup
Below, a left eye image and right eye image are connected to the Disparity node. The Disparity
node then outputs each eye to Saver nodes. It can be more efficient to render out the stereo
images as EXR files than to generate the disparity on-the-fly.
Left and right eye images are connected into a Disparity node to generate and render out a stereo image
Chapter – 106 Stereo Nodes 2362