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Steve Vallerand

dblp:11/4898 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

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
Geometric modeling and processing · 100%
Artificial intelligence
1 paper
3D vision · 100%

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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
stereo vision		 0.012003
Binocular Vision-Based Augmented Reality System with an Increased Registration Depth Using Dynamic Correction of Feature Positions · VR 2003
Geometric modeling and processing › registration
augmented reality registration		 0.012003
Binocular Vision-Based Augmented Reality System with an Increased Registration Depth Using Dynamic Correction of Feature Positions · VR 2003
Geometric modeling and processing › registration
vision-based registration		 0.012003
Binocular Vision-Based Augmented Reality System with an Increased Registration Depth Using Dynamic Correction of Feature Positions · VR 2003

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

stereoscopic vision · 0.1monocular vision · 0.1feature point correction · 0.1
YearPublicationVenuePosition
2003 Binocular Vision-Based Augmented Reality System with an Increased Registration Depth Using Dynamic Correction of Feature Positions
abstract
In vision-based augmented reality systems, the relationship between the real and virtual worlds needs to be estimated to perform the registration of the virtual objects. This paper suggests a registration method which increases the registration depth of video see-through augmented reality systems using binocular cameras. The method uses both monocular and stereoscopic vision-based techniques in order to perform the registration. Also, the registration method can be combined with a facultative correction of the 2D positions of the feature points. The correction increases the stability and the accuracy of the proposed registration method.
Steve Vallerand, Masayuki Kanbara, Naokazu Yokoya
 VR1