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Proceedings Paper

Fast adaptive matting based on iterative solution
Author(s): Jaehwan Kim; HoWon Kim
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Paper Abstract

In this paper, we introduce a fast adaptive matting method, where the adaptive matting is carried with a parallelized iterative method, instead of a closed-form solution. As one of its applications, we also incorporate a saliency detection into the adaptive matting, which provides an automated way of extracting salient objects from a bundle of images. This is useful for various problems including object based retrieval, classification and so on. Numerical experiments and visual comparison with the publicly available sample images show the effectiveness of the proposed method.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034124 (17 March 2017); doi: 10.1117/12.2268425
Show Author Affiliations
Jaehwan Kim, Electronics and Telecommunications Research Institute (Korea, Republic of)
HoWon Kim, Electronics and Telecommunications Research Institute (Korea, Republic of)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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