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
Demo Data from VLDB 2026 / reviewers in the wild / expert

Takeshi Kawano

dblp:70/305 · DBLP profile ↗
← Back
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
Virtual and augmented reality · 91% Image and video processing · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › tracking
fiducial marker tracking		 0.012003
A Coded Visual Marker for Video Tracking System Based on Structured Image Analysis · ISMAR 2003
Virtual and augmented reality
tracking and registration		 0.012003
A Coded Visual Marker for Video Tracking System Based on Structured Image Analysis · ISMAR 2003
Virtual and augmented reality › augmented reality › mobile augmented reality
wearable augmented reality		 0.012003
A Coded Visual Marker for Video Tracking System Based on Structured Image Analysis · ISMAR 2003

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

structured image analysis · 0.0error detection coding · 0.0
YearPublicationVenuePosition
2003 A Coded Visual Marker for Video Tracking System Based on Structured Image Analysis
abstract
This paper proposes a new kind of visual marker for a wearable computer based augmented reality (AR) system. Various marker systems have already been developed for using with an AR system. However, the improvement is needed to use these marker systems on a wearable AR system in terms of the amount of information or the width of the recognizable area. The main feature of our visual marker is a large amount of information that it can possess. Our marker consists of 32 bits data area with error detection code. This feature enables a wearable AR system to be used in various ways.
Takeshi Kawano, Yoshihiro Ban, Kuniaki Uehara
 ISMAR1