@inproceedings{585b836d584c449c859953cbf0a517bd,
title = "A visual-GPS fusion based outdoor augmented reality method",
abstract = "Virtual objects can be overlaid with real scenes through outdoor augmented reality technology, which bring about prominent experience. The existing outdoor augmented reality methods are usually limited in accuracy and scalability. To solve this problem, a novel method combining computer vision and Global Positioning System is proposed in this paper. The Geohash method is introduced to stimulate the retrieval of nearby locations. The vocabulary tree is built to recognize the current scene from the reference library. Faster R-CNN based object detection method is combined with AKAZE feature detection and image matching algorithm to realize the scene recognition and target tracking. The results show that our method can realize efficient and scalable outdoor augmented reality.",
keywords = "AKAZE, Geohash, Outdoor Augmented Reality, Outdoor localization",
author = "Junjie Wang and Quanyu Wang and Uzair Saeed",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2018 ; Conference date: 02-12-2018 Through 03-12-2018",
year = "2018",
month = dec,
day = "2",
doi = "10.1145/3284398.3284414",
language = "English",
series = "Proceedings - VRCAI 2018: 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry",
publisher = "Association for Computing Machinery, Inc",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - VRCAI 2018",
}