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Atsutoshi Hanasaki

dblp:225/8296 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
—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
Computational photography and imaging · 100%
Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%

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

TopicWeightPapersLastEvidence papers
Computational photography and imaging
camera localization		 0.312018
Deep Localization on Panoramic Images · VR 2018
Interaction techniques and input › input sensing › tracking
augmented reality tracking		 0.112018
Deep Localization on Panoramic Images · VR 2018

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

deep learning · 0.7
YearPublicationVenuePosition
2018 Deep Localization on Panoramic Images
abstract
Sensor pose estimation is an essential technology for various applications. For instance, it can be used not only to display immersive contents according user movements in Virtual Reality (VR) and but also to superimpose computer-generated objects onto images from a camera in Augmented Reality (AR). As a technical term definition, camera localization with respect to a pre-created map database is specifically referred to as image based localization, memory based localization, or camera relocalization.
Atsutoshi Hanasaki, Hideaki Uchiyama, Atsushi Shimada 0001, Rin-ichiro Taniquch
 VR1