Andrew Wojdala

dblp:87/5107 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 87% High-performance computing · 13%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
augmented reality
0.012004
Rendering of Highly Polygonal Augmented Reality Applications on a Scalable PC-Cluster Architecture · ISMAR 2004
Virtual and augmented reality › augmented reality
augmented reality rendering
0.012004
Rendering of Highly Polygonal Augmented Reality Applications on a Scalable PC-Cluster Architecture · ISMAR 2004
Parallel and multicore computing › parallel computing › parallel rendering
cluster-based rendering
0.012004
Rendering of Highly Polygonal Augmented Reality Applications on a Scalable PC-Cluster Architecture · ISMAR 2004
Parallel and multicore computing › parallel computing
parallel rendering
0.012004
Rendering of Highly Polygonal Augmented Reality Applications on a Scalable PC-Cluster Architecture · ISMAR 2004
High-performance computing › cluster computing
PC cluster
0.012004
Rendering of Highly Polygonal Augmented Reality Applications on a Scalable PC-Cluster Architecture · ISMAR 2004

Methods — techniques the papers use, named apart from their topics

parallel rendering · 0.1camera tracking · 0.1
YearPublicationVenuePosition
2004 Rendering of Highly Polygonal Augmented Reality Applications on a Scalable PC-Cluster Architecture
abstract
In the automobile industry virtual prototypes are often used within the product development process. Here computer models of cars which are still under development are generated and analyzed to reduce the time and costs for building and testing real prototypes. In this context the technology of augmented reality offers a new perspective. In this paper we describe a system architecture for a PC-cluster consisting of AR nodes for the image processing and VR nodes for the parallel rendering. The AR nodes analyze the live video coming from two cameras and calculate the tracking data for the VR nodes. According to the tracking data the VR nodes render the 3D objects in parallel. The rendered images are sent back to the AR nodes where they are mixed with the life video. The proposed scalable architecture provides a very high image quality and rendering performance. This allows the superimposing of highly polygonal 3D models at high frame rates and excellent image quality.
Carsten Matysczok, Andrew Wojdala
ISMAR2