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Abstract: We describe initial work on a system for augmenting video sequences with 3-D graphics or animations 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. These sequences typically contain jitter and can have narrow baselines between frames over extended time intervals. The paper focuses on obtaining accurate estimates of the 3-D motion and position of the camera for these... (Update)
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BibTeX entry: (Update)
@misc{ yao-robust,
author = "Annie Yao and Andrew Calway",
title = "Robust Estimation of 3-D Camera Motion for Uncalibrated Augmented Reality",
url = "citeseer.ist.psu.edu/yao02robust.html" }
Citations (may not include all citations):474 Multiple View Geometry in Computer Vision (context) - hartley, Zisserman - 2000 ACM DBLP
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80 An automatic registration method for frameless stereotaxy - Grimson, Lozano-Perez et al. - 1996
77 Augmented reality through wearable computing - Starner, Mann et al. - 1997
22 Signal Processing: The Model Based Approach (context) - Candy - 1986
22 Calibration-free augmented reality - Kutulakos, Vallino - 1998 ACM DBLP
9 Improving augmented reality using image and scene constraint.. - Smith, Fitzgibbon et al. - 1999 DBLP
8 IEEE Signal Processing Magazine (context) - Jebara, Azarbayejani et al. - 1999
5 Augmented reality from uncalibrated video sequences (context) - Cornelis, Pollefeys et al.
5 IEEE Trans on Patt Analysis and Machine Intell (context) - Azarbayejani, Pentland et al. - 1995
4 Analysis of head pose accuracy in augmented reality (context) - Hoff, Vincent - 2000 ACM DBLP
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