Paper Info
Title
Uncalibrated narrow baseline augmented reality
Abstract
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.
Year
DOI
Venue
2002
10.1109/TDPVT.2002.1024059
IEEE Computer Society
Keywords
Field
DocType
3-d graphics,video sequences,depth estimates,jitter,real-time system,recursive algorithm,uncalibrated narrow baseline augmented reality,augmented reality,image sequences,3-d camera motion,sparse feature tracking,real-time systems,layout,real time systems,real time,real time system,space technology,graphics,tracking,motion estimation
Graphics,Computer vision,Recursion (computer science),Computer graphics (images),Space technology,Wearable computer,Computer science,Augmented reality,Real-time operating system,Artificial intelligence,Motion estimation,Jitter
Conference
ISBN
Citations 
PageRank 
0-7695-1521-4
0
0.34
References 
Authors
7
2
Name
Order
Citations
PageRank
Annie Yao120.87
Andrew Calway264554.66