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Yuki Kaneto

dblp:182/7299 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—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 · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
augmented reality
0.212016
Space-sharing AR interaction on multiple mobile devices with a depth camera · VR 2016
Virtual and augmented reality › augmented reality
markerless augmented reality
0.212016
Space-sharing AR interaction on multiple mobile devices with a depth camera · VR 2016
Collaborative and social computing › social interaction
multi-user interaction
0.112016
Space-sharing AR interaction on multiple mobile devices with a depth camera · VR 2016
Collaborative and social computing › collaborative virtual environments
shared virtual space
0.112016
Space-sharing AR interaction on multiple mobile devices with a depth camera · VR 2016

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

template matching · 0.5depth camera · 0.5ICP algorithm · 0.52d registration · 0.5
YearPublicationVenuePosition
2016 Space-sharing AR interaction on multiple mobile devices with a depth camera
abstract
In this paper, we propose a markerless augmented reality (AR) system that works on multiple mobile devices. The relative positions and orientations of the devices and their individual motions are estimated from 3D information in real space obtained by depth cameras attached to the devices. The system allows multiple users to share the AR space and to interact with the same virtual object. To estimate the relative positions and orientations of the devices, the system generates 2D images by looking down from above at the 3D scene obtained by the depth cameras, performs 2D registration using template matching, and obtains a transformation matrix that transforms the coordinate system of one camera to that of another camera. The motion of a camera is estimated using the ICP algorithm to realize markerless AR. Using the proposed system, we created an application that enables multiple users to interact with the same virtual object.
Yuki Kaneto, Takashi Komuro
VR1