| Abstract |
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We describe initial work on a system for augmenting video sequences ith 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 Azarbayejani and Pentland [1 ]. We report experiments which demonstrate that the approach performs well and discuss implementation issues relating to its use in a ‘live ’real-time system.
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 Additional Information
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Citation:
Annie Yao, Andrew Calway,
"Uncalibrated Narrow Baseline Augmented Reality,"
3dpvt,
p. 182,
First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02),
2002
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