Automated camera calibration and 3D egomotion estimation for augmented reality applications

Dieter Koller, Gudrun Klinker, Eric Rose, David Breen, Ross Whitaker, Mihran Tuceryan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

This paper addresses the problem of accurately tracking the 3D motion of a monocular camera in a known 3D environment and dynamically estimating the 3D camera location. For that purpose we propose a fully automated landmark based camera calibration method and initialize a motion estimator, which employes extended Kalman filter techniques to track landmarks and to estimate the camera location at any given time. The implementation of our approach has been proven to be efficient and robust and our system successfully tracks in real-time at approximately 10 Hz. We show tracking results of various augmented reality scenarios.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns - 7th International Conference, CAIP 1997, Proceedings
EditorsGerald Sommer, Kostas Daniilidis, Josef Pauli
PublisherSpringer Verlag
Pages199-206
Number of pages8
ISBN (Print)3540634606, 9783540634607
DOIs
StatePublished - 1997
Externally publishedYes
Event7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997 - Kiel, Germany
Duration: 10 Sep 199712 Sep 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1296
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997
Country/TerritoryGermany
CityKiel
Period10/09/9712/09/97

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