Camera localization for augmented reality and indoor positioning: a vision-based 3D feature database approach
The recent fast development in computer vision and mobile sensor technology such as mobile LiDAR and RGB-D cameras is pushing the boundary of the technology to suit the need of real-life applications in the fields of Augmented Reality (AR), robotics, indoor GIS and self-driving. Camera localization...
Main Authors: | Jing Li, Chengyi Wang, Xuejie Kang, Qiang Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-06-01
|
Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17538947.2018.1564379 |
Similar Items
-
Indoor Localization for Augmented Reality Devices Using BIM, Point Clouds, and Template Matching
by: Patrick Herbers, et al.
Published: (2019-10-01) -
An Indoor Location-Based Augmented Reality Framework
by: Jehn-Ruey Jiang, et al.
Published: (2023-01-01) -
ARBIN: Augmented Reality Based Indoor Navigation System
by: Bo-Chen Huang, et al.
Published: (2020-10-01) -
An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web
by: Jesus Ivan Rubio-Sandoval, et al.
Published: (2021-08-01) -
Introduction to the Special Issue: “State-of-the-Art Virtual/Augmented Reality and 3D Modeling Techniques for Virtual Urban Geographic Experiments”
by: Jianming Liang, et al.
Published: (2018-09-01)