@inproceedings{02200bc614604432a29aec27218b0775,
title = "A census-based stereo matching algorithm with multiple sparse windows",
abstract = "Stereo matching is one of the most active research areas in intelligent vehicle technology. In order to apply the stereo matching to intelligent vehicles, it must generate high-accuracy three-dimensional information in real time. For real-time stereo matching, this paper proposes a sparse multi-window method which not only gives robustness to noise but also reduces hardware cost with high matching accuracy. This is achieved by reusing the result of overlapped operations between adjacent windows. The experimental results show that the proposed method can reduce the hardware complexity of stereo matching processors with higher accuracy compared with the conventional window method.",
keywords = "census transform, Intelligent vehicle, sparse multi-window, stereo matching",
author = "Bae, {Kyeong Ryeol} and Son, {Hyeon Sik} and Jongkil Hyun and Byungin Moon",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015 ; Conference date: 07-07-2015 Through 10-07-2015",
year = "2015",
month = aug,
day = "7",
doi = "10.1109/ICUFN.2015.7182542",
language = "English",
series = "International Conference on Ubiquitous and Future Networks, ICUFN",
publisher = "IEEE Computer Society",
pages = "240--245",
booktitle = "ICUFN 2015 - 7th International Conference on Ubiquitous and Future Networks",
address = "United States",
}