@inproceedings{a88e6cbb32fe4540a4200c666608b781,
title = "Haar Filter Hardware Architecture for the Accuracy Improvement of Stereo Vision Systems",
abstract = "In stereo vision systems, mismatching can occur frequently in specific regions containing noise and high-frequency components, such as checkered patterns. Therefore, this paper proposes a preprocessing method and architecture based on a 2-D Haar filter to improve the matching accuracy of disparity map by reducing the high-frequency and noise components. In this paper, the disparity map is computed by the semi-global matching (SGM) method, and separable weighted median filter is adopted as postprocessing. The SGM with proposed method reduces the average number of mismatching pixels by 3.5233% in non-occlusion condition and 3.2647% in occlusion condition compared to that with a 2-D Gaussian filter when using the KITTI 2015 stereo dataset. The proposed method is suitable for embedded stereo vision systems that requires high matching accuracy with reasonable resource overhead.",
keywords = "2-D Haar filter, preprocessing, semi-global matching, stereo vision",
author = "Choi, {Cheol Ho} and Younghyeon Kim and Jiseok Ha and Byungin Moon",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th International System-on-Chip Design Conference, ISOCC 2021 ; Conference date: 06-10-2021 Through 09-10-2021",
year = "2021",
doi = "10.1109/ISOCC53507.2021.9614032",
language = "English",
series = "Proceedings - International SoC Design Conference 2021, ISOCC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "401--402",
booktitle = "Proceedings - International SoC Design Conference 2021, ISOCC 2021",
address = "United States",
}