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Christian Schnelzer

dblp:229/0261 · DBLP profile ↗
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1ranked-venue papers
0as 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

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
Interaction techniques and input · 100%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
visual guidance
0.312018
Towards Efficient Visual Guidance in Limited Field-of-View Head-Mounted Displays · IEEE Trans. Vis. Comput. Graph. 2018
Interaction techniques and input
visual search
0.312018
Towards Efficient Visual Guidance in Limited Field-of-View Head-Mounted Displays · IEEE Trans. Vis. Comput. Graph. 2018
Virtual and augmented reality › immersive display
head-mounted display
0.112018
Towards Efficient Visual Guidance in Limited Field-of-View Head-Mounted Displays · IEEE Trans. Vis. Comput. Graph. 2018

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

head rotation analysis · 0.7
YearPublicationVenuePosition
2018 Towards Efficient Visual Guidance in Limited Field-of-View Head-Mounted Displays
abstract
Understanding, navigating, and performing goal-oriented actions in Mixed Reality (MR) environments is a challenging task and requires adequate information conveyance about the location of all virtual objects in a scene. Current Head-Mounted Displays (HMDs) have a limited field-of-view where augmented objects may be displayed. Furthermore, complex MR environments may be comprised of a large number of objects which can be distributed in the extended surrounding space of the user. This paper presents two novel techniques for visually guiding the attention of users towards out-of-view objects in HMD-based MR: the 3D Radar and the Mirror Ball. We evaluate our approaches against existing techniques during three different object collection scenarios, which simulate real-world exploratory and goal-oriented visual search tasks. To better understand how the different visualizations guide the attention of users, we analyzed the head rotation data for all techniques and introduce a novel method to evaluate and classify head rotation trajectories. Our findings provide supporting evidence that the type of visual guidance technique impacts the way users search for virtual objects in MR.
Felix Bork, Christian Schnelzer, Ulrich Eck, Nassir Navab
IEEE Trans. Vis. Comput. Graph.2