Uncalibrated Narrow Baseline Augmented Reality

A Yao, A Calway

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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 Azarbayejani and Pentland. We report experiments which demonstrate that the approach performs well and discuss implementation issues relating to its use in a `live' real-time system.
Translated title of the contributionUncalibrated Narrow Baseline Augmented Reality
Original languageEnglish
Title of host publicationUnknown
EditorsG. M Cortelazzo, C Guerra
PublisherIEEE Computer Society
Pages182 - 185
Number of pages3
ISBN (Print)0769515215
Publication statusPublished - Jun 2002

Bibliographical note

Conference Proceedings/Title of Journal: 1st International Symposium on 3D Data Processing Visualization and Transmission

Fingerprint Dive into the research topics of 'Uncalibrated Narrow Baseline Augmented Reality'. Together they form a unique fingerprint.

Cite this