@inproceedings{eb682910638f4c40a9e1cbac49aa0a9e,
title = "Monocular Dense 3D Reconstruction Algorithm Based on Inverse Depth Filter",
abstract = "In this paper, an inverse depth filter based real-time monocular 3D dense reconstruction algorithm is proposed. We construct the Gaussian-uniformly mixed probability distribution model by fusing the right and wrong observations in inverse depth filter, which effectively solves the “long tail” problem in conventional depth filter. Then a fast smoothing method is adopted to reduce the effects of noises and false observations, which greatly improves the accuracy and robustness of our method. Experiments are designed to evaluate the accuracy and effectiveness of the proposed algorithm, and the results show that our algorithm has good 3D dense reconstruction performance and high computational accuracy.",
keywords = "3D reconstruction, De-noising, Inverse depth, Monocular camera",
author = "Jingyun Duo and Long Zhao",
note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; Chinese Intelligent Systems Conference, CISC 2020 ; Conference date: 24-10-2020 Through 25-10-2020",
year = "2021",
doi = "10.1007/978-981-15-8458-9\_22",
language = "英语",
isbn = "9789811584572",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "203--211",
editor = "Yingmin Jia and Weicun Zhang and Yongling Fu",
booktitle = "Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II",
address = "德国",
}