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Teruyuki Ushiro

dblp:71/1642 · DBLP profile ↗
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2ranked-venue papers
0as 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 · 2Human-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 · 87% Computational photography and imaging · 13%
Computer networks
1 paper
Wireless sensing and localization · 100%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
augmented reality
0.012003
ID CAM: A Smart Camera for Scene Capturing and ID Recognition · ISMAR 2003
Virtual and augmented reality › augmented reality
mobile augmented reality
0.012003
ID CAM: A Smart Camera for Scene Capturing and ID Recognition · ISMAR 2003
Wireless sensing and localization › optical sensing
optical localization
0.012003
ID CAM: A Smart Camera for Scene Capturing and ID Recognition · ISMAR 2003
Computational photography and imaging › image acquisition
image sensing
0.012003
ID CAM: A Smart Camera for Scene Capturing and ID Recognition · ISMAR 2003

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

optical beacon recognition · 0.1
YearPublicationVenuePosition
2003 ID CAM: A Smart Camera for Scene Capturing and ID Recognition
abstract
An ID recognition system is described that uses optical beacons and a high-speed image sensor. The ID sensor captures a scene like an ordinary camera and recognizes the ID of a beacon emitted over a long distance. The ID recognition system has three features. The system is robust to changes in the optical environment, e.g. complete darkness, spotlights, and sunlight. It can recognize up to 255 multiple optical beacons simultaneously. Furthermore, it can recognize beacons even over a long distance, e.g. 40 m indoors and 20 m outdoors. Implementation and evaluation of this ID recognition system showed that a mobile augmented reality system can be achieved by combining this ID recognition system with a PDA and a wireless network.
Nobuyuki Matsushita, Daisuke Hihara, Teruyuki Ushiro, Shinichi Yoshimura, Jun Rekimoto, Yoshikazu Yamamoto
ISMAR3
2000 Stereo matching method with deformable window and its application to 3D measurement of the human face
Weiguo Wu, Atsushi Yokoyama, Teruyuki Ushiro, Takayuki Yoshigahara, Yoko Miwa
VCIP3