@inproceedings{9286d74b7af04d3b80f9d2699a3a1ebd,
title = "Object Detecting Augmented Reality System",
abstract = "Augmented reality technology is widely used in people's life and work, especially in visual aids. How to assist users to quickly find target objects in a complex environment is one of the problems that need to be solved in the development of augmented reality technology. To solve this problem, the paper proposes an augmented reality system based on object detection neural network and a fast method to construct specific object data set. Since it is difficult for the existing object detection network to accurately detect specific objects that are not in the data set, this paper uses the self-built data set to retrain the object detection network to ensure that the object detection network can detect specific objects. Meanwhile, we calibrate the system to ensure that the bounding box in the AR glasses output from the object detection network can accurately select the specific object. This system helps users quickly find the required items from the complex real environment and enhances the interaction efficiency between users and the real world.",
keywords = "augmented reality, neural network, object detection",
author = "Mingwei Hu and Dongdong Weng and Feng Chen and Yongtian Wang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 20th IEEE International Conference on Communication Technology, ICCT 2020 ; Conference date: 28-10-2020 Through 31-10-2020",
year = "2020",
month = oct,
day = "28",
doi = "10.1109/ICCT50939.2020.9295761",
language = "English",
series = "International Conference on Communication Technology Proceedings, ICCT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1432--1438",
booktitle = "2020 IEEE 20th International Conference on Communication Technology, ICCT 2020",
address = "United States",
}
