@inproceedings{f8b5c0f19fb947cfbd179612e2c520b9,
title = "Loop Closure Detection with Incremental Proximity Graph and Multi-words Quantization",
abstract = "This paper studies the visual loop closure detection problem. The online loop closure detection algorithm is proposed embedded with an incremental visual words codebook. The main novelty of the work lies: 1) To mitigate the coherent quantization error of feature words, a multi-words quantization approach is designed. 2) A hierarchical navigable small world graph is utilized as the codebook structure to alleviate the deficiency of high dimensional search in space partition methods. 3) A complete loop closure detection framework based on tracked word elements is tested and analyzed on several public image datasets. The results validate the computational efficiency of this algorithm.",
keywords = "online loop-closure detection, proximity graph, quantization, Tracked word",
author = "Lijun Zhang and Weisheng Yan and Huiping Li and Bufang Li",
note = "Publisher Copyright: {\textcopyright} 2022 ACA.; 13th Asian Control Conference, ASCC 2022 ; Conference date: 04-05-2022 Through 07-05-2022",
year = "2022",
doi = "10.23919/ASCC56756.2022.9828011",
language = "英语",
series = "ASCC 2022 - 2022 13th Asian Control Conference, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1114--1119",
booktitle = "ASCC 2022 - 2022 13th Asian Control Conference, Proceedings",
}