Near-Real-Time Image Matting with Known Background

Authors:
Minglun Gong;Yee-Hong Yang
Affiliations:
-;-
Venue:
CRV '09 Proceedings of the 2009 Canadian Conference on Computer and Robot Vision
Year:
2009

Citing 0
Cited 3

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Automatic Real-Time Video Matting Using Time-of-Flight Camera and Multichannel Poisson Equations

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Background subtraction driven seeds selection for moving objects segmentation and matting

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Abstract

This paper presents a novel matting algorithm for handling cases where foreground objects are in front of complex (non-smooth) but known background. The algorithm is based on a Poisson equation that takes the gradient of the known background into consideration. The quantitative evaluation based on ground truth shows that the matting results obtained using the proposed algorithm is more accurate than the ones generated by the global Poisson matting [9]. The proposed algorithm is also optimized for parallel processing and runs in near-real-time on programmable graphics hardware.