@inproceedings{2831a92c066c4b21a974d94d85b8f46a,
title = "An epipolar geometry-based approach for vision-based indoor localization",
abstract = "Indoor positioning is getting more and more attention and research. We propose an epipolar geometry-based method for vision-based indoor localization using images. It needs an image collected in the positon that is aiming to localize. It uses SURF to pick up the feature points and filtrate them to remain good ones and get rid of bad ones. The good feature points are used to match the feature points in the database. (The feature points are selected by the images whose positions are already known). We use the matched feature points to calculate the essential matrix that include the translation information and rotary information. Then we can complete the localization by the relationship between the query image and the images in the database. What{\textquoteright}s more we use the feature points to replace the images to build the database aiming to reduce the space and speed up the localization.",
keywords = "Epipolar geometry, Essential matrix, Indoor localization, SURF",
author = "Yinan Liu and Lin Ma and Xuedong Wang and Weixiao Meng",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",
year = "2019",
doi = "10.1007/978-981-10-6571-2\_320",
language = "英语",
isbn = "9789811065705",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "2643--2652",
editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}