Lior Gavish, Lior Shapira, Lior Wolf, and Daniel Cohen-Or
We introduce principal-channels for cutting out objects from an
image by one-sided scribbles. We demonstrate that few scribbles, all
from within the object of interest, are sufficient to mark it out.
One-sided scribbles provide significantly less information than
two-sided ones. Thus, it is required to maximize the use of
image-information. Our approach is to first analyze the image with a
large filter bank and generate a high-dimensional feature space. We
then extract a set of principal-channels that discern one object
from another. We show that by applying an iterative graph-cut
optimization over the principal-channels, we can cut out the object
In Visual Computer
Publisher Springer-Verlag New York, Inc.
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