Uncalibrated narrow baseline augmented reality
Annie Yao, Andrew D. Calway · 2003
We describe initial work on a system for augmenting video sequences with 3-D graphics so that they appear to be present within the scene. Our aim is to do this in real time for sequences captured by uncalibrated 'live' cameras, such as a hand-held or wearable. The paper focuses on obtaining 3-D camera motion and depth estimates for these types of sequences using sparse feature tracking and the recursive algorithm developed by A. Azarbayejani and A.P. Pentland (1995). We report experiments which demonstrate that the approach performs well and discuss implementation issues relating to its use in a 'live' real-time system.