Vision-based augmented reality visual guidance with keyframes

Authors:
Timothy S. Y. Gan;Tom W. Drummond
Affiliations:
Engineering Department, Cambridge University, Cambridge, UK;Engineering Department, Cambridge University, Cambridge, UK
Venue:
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Year:
2006

Citing 11
Cited 0

Key-frame extraction and shot retrieval using nearest feature line (NFL)

MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
An Assessment of Information Criteria for Motion Model Selection

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Location based applications for mobile augmented reality

AUIC '03 Proceedings of the Fourth Australasian user interface conference on User interfaces 2003 - Volume 18
A Wearable Computer System with Augmented Reality to Support Terrestrial Navigation

ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision
Augmented Reality in a Wide Area Sentient Environment

ISAR '01 Proceedings of the IEEE and ACM International Symposium on Augmented Reality (ISAR'01)
Maintaining Multiple Motion Model Hypotheses Over Many Views to Recover Matching and Structure

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Stable Real-Time 3D Tracking Using Online and Offline Information

IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Models from Extended Uncalibrated Video Sequences: Addressing Key-Frame Selection and Projective Drift

3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
Localization in Urban Environments: Monocular Vision Compared to a Differential GPS Sensor

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Machine learning for high-speed corner detection

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

A vision-based augmented reality visual guidance system is presented. It utilises naturally occurring point features and does not require a global reference frame. Keyframes extracted from a training sequ- ence are used to provide multiple local reference frames. These keyframes are selected by minimising the uncertainties in structure recovery to find an optimal tradeoff between narrow and wide baselines.