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Huan Xing

dblp:247/3749 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 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 · 62% Geometric modeling and processing · 38%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › mixed reality
mixed reality application
0.412019
Rotbav: A Toolkit for Constructing Mixed Reality Apps with Real-Time Roaming in Large Indoor Physical Spaces · VR 2019
Geometric modeling and processing
spatial data structures
0.112019
Rotbav: A Toolkit for Constructing Mixed Reality Apps with Real-Time Roaming in Large Indoor Physical Spaces · VR 2019
Geometric modeling and processing › spatial data structures
voronoi diagram
0.112019
Rotbav: A Toolkit for Constructing Mixed Reality Apps with Real-Time Roaming in Large Indoor Physical Spaces · VR 2019

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

path editing · 0.4accelerated rendering · 0.4
YearPublicationVenuePosition
2020 MR Environments Constructed for a Large Indoor Physical Space
Huan Xing, Chenglei Yang, Xiyu Bao, Sheng Li 0008, Wei Gai, Juan Liu 0008, Yuliang Shi, Gerard de Melo, Fan Zhang 0045, Xiangxu Meng
CGI1
2019 Rotbav: A Toolkit for Constructing Mixed Reality Apps with Real-Time Roaming in Large Indoor Physical Spaces
abstract
This paper presents a toolkit called Rotbav for easily constructing mixed reality (MR) apps that can be experienced in real time in large indoor physical space via HoloLens. It resolves the problem that existing MR devices, e.g. HoloLens, are unable to scan and model an entire large scene with several rooms at once. We introduce a custom data structure called VorPa, based on the Voronoi diagram, to implement path editing, accelerated rendering and location effectively. Our experiments and applications show that the toolkit is convenient and easy to use for constructing MR apps targeting large indoor physical spaces, in which users can roam in real time.
Huan Xing, Xiyu Bao, Fan Zhang 0045, Wei Gai, Juan Liu 0008, Yuliang Shi, Gerard de Melo, Chenglei Yang, Xiangxu Meng
VR1