Exploration of Large Omnidirectional Images in Immersive Environments

Navigation is a major challenge in exploring data within immersive environments, especially of large omnidirectional spherical images. We propose a method of auto-scaling to allow users to navigate using teleportation within the safe boundary of their physical environment with different levels of fo...

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Vydané v:Proceedings (IEEE Conference on Virtual Reality and 3D User Interfaces. Online) s. 413 - 422
Hlavní autori: Mirhosseini, Seyedkoosha, Ghahremani, Parmida, Ojal, Sushant, Marino, Joseph, Kaufman, Arie
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.03.2019
Predmet:
Cameras
Data visualization
Earth
Human-centered computing-Human computer interaction (HCI)-HCI design and evaluation methods-User studies
Human-centered computing-Human computer interaction (HCI)-Interaction paradigms-Virtual reality
Human-centered computing-Visualization-Visualization application domains-Geographic visualization
Lenses
Navigation
Teleportation
Virtual environments
ISSN:2642-5254
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Shrnutí:Navigation is a major challenge in exploring data within immersive environments, especially of large omnidirectional spherical images. We propose a method of auto-scaling to allow users to navigate using teleportation within the safe boundary of their physical environment with different levels of focus. Our method combines physical navigation with virtual teleportation. We also propose a "peek then warp" behavior when using a zoom lens and evaluate our system in conjunction with different teleportation transitions, including a proposed transition for exploration of omnidirectional and 360-degree panoramic imagery, termed Envelop, wherein the destination view expands out from the zoom lens to completely envelop the user. In this work, we focus on visualizing and navigating large omnidirectional or panoramic images with application to GIS visualization as an inside-out omnidirectional image of the earth. We conducted two user studies to evaluate our techniques over a search and comparison task. Our results illustrate the advantages of our techniques for navigation and exploration of omnidirectional images in an immersive environment.
ISSN:2642-5254
DOI:10.1109/VR.2019.8797777