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Hunfuko Asanka Abeykoon

dblp:44/11181 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 graphics and multimedia
1 paper
Virtual and augmented reality · 50% Visualization and visual analytics · 50%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
augmented reality
0.112012
Command Center: Authoring tool to supervise augmented reality session · VR 2012
Visualization and visual analytics
authoring tool
0.112012
Command Center: Authoring tool to supervise augmented reality session · VR 2012

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

vision-based tracking · 0.3pose estimation · 0.3
YearPublicationVenuePosition
2012 Command Center: Authoring tool to supervise augmented reality session
abstract
We describe a real time authoring tool that is useful to supervise group of users in an augmented reality environment. The overall system is composed of a server; the Command Center (CC) and several clients; Wearable Systems (WS). The server is used to visualize the virtual representation of the real environment, 3d features map where augmentation are to occur, augmented content that will be rendered and users avatar that evolves on the field. The user's WS is equipped of a Head Mounted Display (HMD) along with sensors (GPS/DRM/Compass) to provide constant pose estimation (position and orientation) to the CC and a vision based tracking that uses natural features and pose estimation allgorithms to render virtual content accordingly. Alternatively a sensor based renderer is used to display AR guidance on the HMD based on the path defined and sent from the CC. The natural features system handles a large number of small 3D features maps. The overall system offers a complete system to train and supervise remote users through an AR environment.
Remi Tache, Hunfuko Asanka Abeykoon, Kasun Karunanayaka, Prabhash Kumarasinghe, Gerhard Roth, Owen Noel Newton Fernando, Adrian David Cheok
VR2