Easy Matting - A Stroke Based Approach for Continuous Image Matting

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dc.contributor.authorGuan, Yuen_US
dc.contributor.authorChen, Weien_US
dc.contributor.authorLiang, Xiaoen_US
dc.contributor.authorDing, Ziangen_US
dc.contributor.authorPeng, Qunshengen_US
dc.date.accessioned2015-02-21T14:31:57Z
dc.date.available2015-02-21T14:31:57Z
dc.date.issued2006en_US
dc.description.abstractWe propose an iterative energy minimization framework for interactive image matting. Our approach is easy in the sense that it is fast and requires only few user-specified strokes for marking the foreground and background. Beginning with the known region, we model the unknown region as a Markov Random Field (MRF) and formulate its energy in each iteration as the combination of one data term and one smoothness term. By automatically adjusting the weights of both terms during the iterations, the first-order continuous and feature-preserving result is rapidly obtained with several iterations. The energy optimization can be further performed in selected local regions for refined results. We demonstrate that our energy-driven scheme can be extended to video matting, with which the spatio-temporal smoothness is faithfully preserved. We show that the proposed approach outperforms previous methods in terms of both the quality and performance for quite challenging examples.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume25en_US
dc.identifier.doi10.1111/j.1467-8659.2006.00976.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages567-576en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2006.00976.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing, Incen_US
dc.titleEasy Matting - A Stroke Based Approach for Continuous Image Mattingen_US
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