A Novel Nonlinear Regression Approach for Efficient and Accurate Image Matting

IEEE Signal Processing Letters, pp. 1078-1081, 2013.

Cited by: 14|Bibtex|Views33|DOI:https://doi.org/10.1109/LSP.2013.2274874
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Current image matting approaches are often implemented based upon color samples under various local assumptions. In this letter, a novel image matting algorithm is investigated by treating the alpha matting as a regression problem. Specifically, we learn spatially-varying relations between pixel features and alpha values using support vec...More

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