Fast adaptive matting based on iterative solution

Jaehwan Kim; HoWon Kim

doi:10.1117/12.2268425

17 March 2017 Fast adaptive matting based on iterative solution

Jaehwan Kim, HoWon Kim

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034124 (2017) https://doi.org/10.1117/12.2268425
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

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.

Citation Download Citation

Jaehwan Kim and HoWon Kim "Fast adaptive matting based on iterative solution", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034124 (17 March 2017); https://doi.org/10.1117/12.2268425

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