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Learning based digital matting | IEEE Conference Publication | IEEE Xplore

Learning based digital matting


Abstract:

We cast some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning. A local learning based approach ...Show More

Abstract:

We cast some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning. A local learning based approach and a global learning based approach are then produced, to fit better the scribble based matting and the trimap based matting, respectively. Our approaches are easy to implement because only some simple matrix operations are needed. They are also extremely accurate because they can efficiently handle the nonlinear local color distributions by incorporating the kernel trick, that are beyond the ability of many previous works. Our approaches can outperform many recent matting methods, as shown by the theoretical analysis and comprehensive experiments. The new insights may also inspire several more works.
Date of Conference: 29 September 2009 - 02 October 2009
Date Added to IEEE Xplore: 06 May 2010
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Conference Location: Kyoto, Japan

References

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