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O_ColourMatcher has the following inputs:
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Source |
A stereo pair of images. If disparity channels and occlusion masks are not embedded in the images and you are using the Local Matching mode, you need to add an O_Solver, an O_DisparityGenerator, and an O_OcclusionDetector node after the image sequence. |
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Mask |
An optional mask that determines where to take the color distribution from. For example, if you have a clip showing a person in front of a green screen, you might want to use a mask to exclude the green area so the node concentrates on matching the person. In the Basic mode, O_ColourMatcher calculates the transform on the masked area of the source view but applies it to the whole of the view it's correcting. In the Local Matching mode, it calculates the transform on the masked area and applies it to that area only. |
To see a table listing the nodes or channels each Ocula node requires in its inputs, turn to Node Dependencies.
