@inproceedings{3673dccd48b04c829af21566e6328fbc,
title = "Automated camera calibration and 3D egomotion estimation for augmented reality applications",
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.",
author = "Dieter Koller and Gudrun Klinker and Eric Rose and David Breen and Ross Whitaker and Mihran Tuceryan",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1997.; 7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997 ; Conference date: 10-09-1997 Through 12-09-1997",
year = "1997",
doi = "10.1007/3-540-63460-6_118",
language = "English",
isbn = "3540634606",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "199--206",
editor = "Gerald Sommer and Kostas Daniilidis and Josef Pauli",
booktitle = "Computer Analysis of Images and Patterns - 7th International Conference, CAIP 1997, Proceedings",
}