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Authors: Tadaaki Hosaka 1 ; Takumi Kobayashi 1 and Nobuyuki Otsu 2

Affiliations: 1 National Institute of Advanced Industrial Science and Technology, Japan ; 2 National Institute of Advanced Industrial Science and Technology; University of Tokyo, Japan

Keyword(s): Image matting, Markov random field, support vector machine, belief propagation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: Image matting is a technique for extracting a foreground object in a static image by estimating the opacity at each pixel in the foreground image layer. This problem has recently been studied in the framework of optimizing a cost function. The common drawback of previous approaches is the decrease in performance when the foreground and background contain similar colors. To solve this problem, we propose a cost function considering not only a single pixel but also its neighboring pixels, and utilizing the SVM classifier to enhance the discrimination between the foreground and background. Optimization of the cost function can be achieved by belief propagation. Experimental results show favorable matting performance for many images.

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Paper citation in several formats:
Hosaka, T.; Kobayashi, T. and Otsu, N. (2007). IMAGE MATTING USING SVM AND NEIGHBORING INFORMATION. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP; ISBN 978-972-8865-73-3; ISSN 2184-4321, SciTePress, pages 344-349. DOI: 10.5220/0002060903440349

@conference{visapp07,
author={Tadaaki Hosaka. and Takumi Kobayashi. and Nobuyuki Otsu.},
title={IMAGE MATTING USING SVM AND NEIGHBORING INFORMATION},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP},
year={2007},
pages={344-349},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002060903440349},
isbn={978-972-8865-73-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP
TI - IMAGE MATTING USING SVM AND NEIGHBORING INFORMATION
SN - 978-972-8865-73-3
IS - 2184-4321
AU - Hosaka, T.
AU - Kobayashi, T.
AU - Otsu, N.
PY - 2007
SP - 344
EP - 349
DO - 10.5220/0002060903440349
PB - SciTePress

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