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Yonathan Widya Adipradana

dblp:198/3876 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—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 · 91% Image and video processing · 9%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
immersive interaction
0.312017
The AR-Rift 2 prototype · VR 2017
Virtual and augmented reality
motion-to-photon latency
0.312017
The AR-Rift 2 prototype · VR 2017
Virtual and augmented reality › augmented reality display
video see-through AR
0.312017
The AR-Rift 2 prototype · VR 2017
Image and video processing
image warping
0.112017
The AR-Rift 2 prototype · VR 2017

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

latency measurement · 0.3image warping · 0.3
YearPublicationVenuePosition
2017 The AR-Rift 2 prototype
abstract
Video see-through augmented reality (VSAR) is an effective way of combing real and virtual scenes for head-mounted human computer interfaces. In this paper we present the AR-Rift 2 system, a cost-effective prototype VSAR system based around the Oculus Rift CV1 head-mounted display (HMD). Current consumer camera systems however typically have latencies far higher than the rendering pipeline of current consumer HMDs. They also have lower update rate than the display. We thus measure the latency of the video and implement a simple image-warping method to ensure smooth movement of the video.
Anthony Steed, Yonathan Widya Adipradana, Sebastian Friston
VR2