Journal
JOURNAL OF SUPERCOMPUTING
Volume 78, Issue 5, Pages 7509-7528Publisher
SPRINGER
DOI: 10.1007/s11227-021-04161-0
Keywords
Augmented reality; Object recognition; SLAM; Estimating 3D position; Camera tracking
Categories
Funding
- Institute of Information & communications Technology Planning & Evaluation (IITP) - Korea government (MSIT) [IITP2020000103001]
- Chung-Ang University
Ask authors/readers for more resources
The system uses camera tracking, object recognition, and positioning to enable viewing of virtual visual information in the real world.
As augmented reality technologies develop, real-time interactions between objects present in the real world and virtual space are required. Generally, recognition and location estimation in augmented reality are carried out using tracking techniques, typically markers. However, using markers creates spatial constraints in simultaneous tracking of space and objects. Therefore, we propose a system that enables camera tracking in the real world and visualizes virtual visual information through the recognition and positioning of objects. We scanned the space using an RGB-D camera. A three-dimensional (3D) dense point cloud map is created using point clouds generated through video images. Among the generated point cloud information, objects are detected and retrieved based on the pre-learned data. Finally, using the predicted pose of the detected objects, other information may be augmented. Our system estimates object recognition and 3D pose based on simple camera information, enabling the viewing of virtual visual information based on object location.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available