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Proceedings Paper

Improved global-sampling matting using sequential pair-selection strategy
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Paper Abstract

This paper addresses the problem of natural image matting in which the goal is to softly-segment a foreground from a background. Given an input image and some known foreground (FG) and background (BG) pixels, an alpha value indicating a partial foreground coverage is calculated for every other pixel in the image. The proposed algorithm is affiliated to the sampling-based matting techniques where the alpha of every unknown pixel is calculated using some FG / BG pairs that are sampled according to certain criteria. Current sampling­ based matting techniques suffer from critical disadvantages, leaving the problem open for further development. By adopting a novel FG / BG pair-selection strategy, we propose a technique that overcomes critical pitfalls in the state-of-the-art methods with a performance that is comparable (and superior in certain cases) to them. Our results were evaluated according to the matting online benchmark.

Paper Details

Date Published: 17 February 2014
PDF: 10 pages
Proc. SPIE 9029, Visual Information Processing and Communication V, 90290H (17 February 2014); doi: 10.1117/12.2041322
Show Author Affiliations
Ahmad Al-Kabbany, Univ. of Ottawa (Canada)
Eric Dubois, Univ. of Ottawa (Canada)


Published in SPIE Proceedings Vol. 9029:
Visual Information Processing and Communication V
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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