@inproceedings{875c1082dbb449d59b55ca1cbcd9c11d,
title = "Divide and conquer: A self-adaptive approach for high-resolution image matting",
abstract = "This paper proposes an efficient patch-based image matting approach to reduce memory consumption in processing high-resolution images. Most existing image matting techniques employ a global optimization over the whole set of image pixels, incurring a prohibitively high memory consumption. Inspired by 'divide and conquer', the image is divided into small patches self-Adaptively according to the distribution of pixels, then the matting algorithm is applied in patch level. The memory consumption is related to the size of patch. Relationships between patches are also considered by locally linear embedding to maintain consistency through the whole image. Experimental results show that our method significantly reduces memory consumption while maintaining high-fidelity matting results on the benchmark dataset.",
keywords = "High-resolution, Image matting, Patch division",
author = "Guangying Cao and Jianwei Li and Zhiqiang He and Xiaowu Chen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th International Conference on Virtual Reality and Visualization, ICVRV 2016 ; Conference date: 24-09-2016 Through 26-09-2016",
year = "2017",
month = jun,
day = "1",
doi = "10.1109/ICVRV.2016.13",
language = "英语",
series = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "24--30",
editor = "Dandan Ding and Dangxiao Wang and Jian Chen and Xun Luo",
booktitle = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
address = "美国",
}