Confluence of Computer Vision and Interactive Graphics for Augmented Reality
Gudrun Klinker,
Klaus H. Ahlers,
David Breen,
Pierre-Yves Chevalier,
Chris Crampton,
Douglas S. Greer,
Dieter Koller,
Andre Kramer,
Eric Rose,
Mihran Tuceryan, and
Ross Whitaker
In Presence: Teleoperators and Virtual Environments
(Special issue on Augmented Reality), pp. 433-451, Vol 6(4), Aug. 1997, MIT Press Journal.
Abstract
Augmented reality (AR) is a technology in which a user's view
of the real world is enhanced or augmented with
additional information generated from a computer model.
Using AR technology, users can interact with a combination of real and virtual
objects in a natural way. This paradigm constitutes the core of
a very promising new technology for many applications.
However, before it can be applied successfully, AR has to fulfill very strong
requirements including precise calibration, registration and tracking of sensors
and objects in the scene, as well as a detailed overall understanding
of the scene.
At ECRC we see computer vision and image processing technology play an
increasing role in acquiring appropriate sensor and scene models.
To balance robustness with automation, we integrate automatic image analysis
with both interactive user assistance and input from magnetic trackers
and CAD-models.
Also, in order to meet the requirements of the emerging global information
society, future human-computer interaction will be highly collaborative and
distributed.
We thus conduct research pertaining to distributed and collaborative
use of AR technology.
We have demonstrated our work in several prototype applications, such
as collaborative interior design, and collaborative mechanical repair.
This paper describes our approach to AR with examples from applications,
as well as the underlying technology.
The document is available online in
application/postscript (3352708 Bytes)
Last modified on Thursday, December 19, 1996,
Dieter Koller
(koller@vision.caltech.edu)