Augmented Reality on the Large Scene Based on a Markerless Registration Framework
This work addresses markerless AR for large-scale environments, enabling human-computer interaction and information summarization, but it appears incremental as it builds on existing robotics and sensor frameworks.
The paper tackles the problem of markerless augmented reality in large scenes by proposing a mobile camera positioning method based on robot forward and inverse kinematics, achieving good 3D image registration and solving initialization issues for mobile robots.
In this paper, a mobile camera positioning method based on forward and inverse kinematics of robot is proposed, which can realize far point positioning of imaging position and attitude tracking in large scene enhancement. Orbit precision motion through the framework overhead cameras and combining with the ground system of sensor array object such as mobile robot platform of various sensors, realize the good 3 d image registration, solve any artifacts that is mobile robot in the large space position initialization problem, effectively implement the large space no marks augmented reality, human-computer interaction, and information summary. Finally, the feasibility and effectiveness of the method are verified by experiments.