@inproceedings{3c76a7871bdb4022a97e9bce799cfe90,
title = "A dense depth estimation method using superpixels",
abstract = "Conventional stereo matching or depth estimation algorithms always provide incomplete disparity map. These pixels without depth estimation in the map are named depth gaps. Weak texture and occluded areas are main source of depth gaps. We propose a novel method to assign good depth estimation on the areas above. Our algorithm combines state-of-art superpixel segmentation approach and linear filter. First we do superpixel segmentation on reference image, after this every pixel has a label determines which superpixel it belongs to. Then merging distance between superpixels in spatial space and color space, we apply linear filter on every superpixel. We evaluate the performance of our algorithm with some classic stereo datasets to show the promotion we obtained.",
keywords = "Depth estimation, Stereo matching, linear filter, superpixel segmentation",
author = "Feng Jin and Xuefeng Li",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2015 ; Conference date: 18-12-2015 Through 20-12-2015",
year = "2016",
month = jun,
day = "16",
doi = "10.1109/ICCWAMTIP.2015.7493994",
language = "English",
series = "2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "290--294",
booktitle = "2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2015",
address = "United States",
}