Video Matting from Depth Maps
نویسندگان
چکیده
Image matting is the process of taking an image, isolating the foreground, and replacing the background with a new image. This can be a hard problem when the background is unknown as it is fundamentally unconstrained. We look at an existing technique for foreground-background separation called Bayesian matting and improve upon it by adding depth information acquired by a time-of-flight range scanner. We use the depth information to generate automatic trimaps so that the method can be used automatically for video sequences. In addition, we improved the results from the matting algorithm by incorporating the depth channel into Bayesian matting. This allows us to reduce artifacts that arise from ambiguities that occur when an object is a similar color to its background.
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