Conference
A Weighted KNN Epipolar Geometry-Based Approach for Vision-Based Indoor Localization Using Smartphone Cameras
Abstract
We propose a weighted KNN Epipolar Geometry-based method for vision-based indoor localization using cellphone cameras. The proposed method is applicable for fine localization whenever a pose-tagged (position + rotation matrix) image database is available rather than just Geo-tagged one. To the best of our knowledge, this is the first that Epipolar geometry has been utilized for fine localization in indoor applications using smartphone images. …
Authors
Sadeghi H; Valaee S; Shirani S
Pagination
pp. 37-40
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
June 1, 2014
DOI
10.1109/sam.2014.6882332
Name of conference
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)