Paper Info
Title
Beacon-Guided Structure from Motion for Smartphone-Based Navigation
Abstract
Great progress has been made in computer vision-based localization systems. However, some systems tend to work well only in certain visually feature-rich environments. It is often the case that feature-based matching techniques can have a hard time dealing with scenes with only a few features or a large number of repetitive features. In these situations, computer vision-based localization may fail to estimate camera position or may yield a large localization error. We approach this problem from a systems perspective, where we are required to obtain accurate localization of blind travellers using a smartphones app for localization. In particular, we assume that the environment is already instrumented with Bluetooth low energy (BLE) signals to provide rough proximity information, and we propose to integrate it with visual information to perform efficient structure-from-motion and camera localization. Our multi-model sensing approach can accelerate localization speed and obtain more accuracy in challenging environments when compared to traditional baseline approaches. We also show that our approach can accelerate the time for reconstructing large 3D models. Our framework is released as an open source project. It can be used by different mobile operating systems, enabling the development of navigation applications on mobile platforms.
Year
DOI
Venue
2017
10.1109/WACV.2017.91
2017 IEEE Winter Conference on Applications of Computer Vision (WACV)
Keywords
Field
DocType
beacon-guided structure,smartphone-based navigation,computer vision-based localization system,feature-based matching technique,Bluetooth low energy signal,rough proximity information,structure-from-motion,camera localization,multimodel sensing approach,3D models,mobile operating system
Structure from motion,Computer vision,Visualization,Computer science,Acceleration,Solid modeling,Artificial intelligence,Merge (version control),Bluetooth Low Energy
Conference
ISSN
ISBN
Citations 
2472-6737
978-1-5090-4823-6
2
PageRank 
References 
Authors
0.36
28
4
Name
Order
Citations
PageRank
Tatsuya Ishihara1659.88
Jayakorn Vongkulbhisal262.09
Kris M. Kitani363072.32
Chieko Asakawa491186.45