Real-time video matting using multichannel poisson equations

Minglun Gong, Liang Wang, Ruigang Yang, Yee Hong Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations


This paper presents a novel matting algorithm for processing video sequences in real-time and online. The algorithm is based on a set of novel Poisson equations that are derived for handling multichannel color vectors, as well as the depth information captured. A simple yet effective approach is also proposed to compute an initial alpha matte in the color space. Real-time processing speed is achieved through optimizing the algorithm for parallel processing on the GPUs. To process live video sequences online and autonomously, a modified background cut algorithm is implemented to separate foreground and background, the result of which guides the automatic trimap generation. Quantitative evaluation on still images shows that the alpha mattes extracted using the presented algorithm is much more accurate than the ones obtained using the global Poisson matting algorithm and are comparable to that of other state-of-the-art offline image matting techniques.

Original languageEnglish
Title of host publicationProceedings - Graphics Interface 2010
Number of pages8
StatePublished - 2010
Event36th Graphics Interface Conference, GI 2010 - Ottawa, ON, Canada
Duration: May 31 2010Jun 2 2010

Publication series

NameProceedings - Graphics Interface
ISSN (Print)0713-5424


Conference36th Graphics Interface Conference, GI 2010
CityOttawa, ON

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design


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