@inproceedings{17f85c8d494a44c5ae0758125b90850d,
title = "Window adaptive cost aggregation method for stereo correspondence",
abstract = "Stereo matching is an active research area in computer vision field, and a lot of excellent researchers have focused on this challenging topic. For stereo matching, Census is proven to be a simple matching algorithm with high accuracy. But how to choose the aggregation window remains a critical problem. This paper presents a new approach to choose the size of aggregation window based on texture and the disparity boundary near the pixel to be matched, which does not increase much extra computational complexity. Experiment results show that the proposed method is effective to improve the matching result.",
author = "Jing Luo and Zuren Feng and Na Lu",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis Group, London.",
year = "2015",
doi = "10.1201/b18592-56",
language = "英语",
isbn = "9781138028302",
series = "Electronics, Communications and Networks IV - Proceedings of the 4th International Conference on Electronics, Communications and Networks, CECNet2014",
publisher = "CRC Press/Balkema",
pages = "299--303",
editor = "Amir Hussain and Mirjana Ivanovic",
booktitle = "Electronics, Communications and Networks IV - Proceedings of the 4th International Conference on Electronics, Communications and Networks, CECNet2014",
}