Enhancement of aligning accuracy on zooming camera for augmented reality
This paper addresses the problem of the zooming effect of camera on focal length estimation for augmented reality applications. Our proposed method allows us to merge virtual objects properly into a real scene captured with varying focal length. Virtual objects appearing in the augmented scene need to be merged into the real scene taken with different camera pose (related to rotation and translation parameters) and camera zoom (related to focal length parameter). The system will then calculate appropriate transformation using a template of the marker that is already built in the database. Several tests have been done in comparison between current AR toolkit and our system. The simulation results show that our system is able to achieve more accurate alignment without degenerate motion problem.
