Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Chris Warrington

dblp:31/5449 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · unresolved

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

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 graphics and multimedia
1 paper
Virtual and augmented reality · 67% Computational photography and imaging · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
augmented reality
0.112006
Markerless augmented reality for cubic panorama sequences · ISMAR 2006
Virtual and augmented reality › augmented reality
markerless augmented reality
0.112006
Markerless augmented reality for cubic panorama sequences · ISMAR 2006

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

planar region matching · 0.1interest-point feature matching · 0.1
YearPublicationVenuePosition
2006 Markerless augmented reality for cubic panorama sequences
abstract
This paper presents a system for introducing augmented reality (AR) enhancements into an image-based cubic panorama sequence. Panoramic cameras, such as the Point Gray Research Ladybug allow rapid capture and generation of panoramic sequences for users to navigate and view. Our AR system provides the ability for authors to add virtual content into the panoramic sequences. First, a user manually selects a planar region over which to add the content. Then the system automatically finds a matching planar region in all the panoramas, allowing the virtual content to propagate. No preconditioning of the imaged scene through the addition of physical markers is necessary. Instead, 3-D position information is obtained by matching interest-point features across the panoramic sequence. This paper presents an application of augmented reality algorithms to the unique case of pre-captured panoramic sequences.
Chris Warrington, Gerhard Roth, Eric Dubois 0002
ISMAR1