Deep Localization on Panoramic Images

Atsutoshi Hanasaki, Hideaki Uchiyama, Atsushi Shlmada, Rin Ichiro Taniquch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings
EditorsFrank Steinicke, Bruce Thomas, Kiyoshi Kiyokawa, Greg Welch
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages567-568
Number of pages2
ISBN (Print)9781538633656
DOIs
Publication statusPublished - Aug 24 2018
Event25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Reutlingen, Germany
Duration: Mar 18 2018Mar 22 2018

Publication series

Name25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings

Other

Other25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018
CountryGermany
CityReutlingen
Period3/18/183/22/18

Fingerprint

Camera
Cameras
Pose Estimation
Augmented reality
Augmented Reality
Virtual Reality
Virtual reality
Data storage equipment
Sensor
Sensors
Term
Object
Movement

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Modelling and Simulation
  • Media Technology

Cite this

Hanasaki, A., Uchiyama, H., Shlmada, A., & Taniquch, R. I. (2018). Deep Localization on Panoramic Images. In F. Steinicke, B. Thomas, K. Kiyokawa, & G. Welch (Eds.), 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings (pp. 567-568). [8446048] (25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VR.2018.8446048

Deep Localization on Panoramic Images. / Hanasaki, Atsutoshi; Uchiyama, Hideaki; Shlmada, Atsushi; Taniquch, Rin Ichiro.

25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings. ed. / Frank Steinicke; Bruce Thomas; Kiyoshi Kiyokawa; Greg Welch. Institute of Electrical and Electronics Engineers Inc., 2018. p. 567-568 8446048 (25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hanasaki, A, Uchiyama, H, Shlmada, A & Taniquch, RI 2018, Deep Localization on Panoramic Images. in F Steinicke, B Thomas, K Kiyokawa & G Welch (eds), 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings., 8446048, 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 567-568, 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018, Reutlingen, Germany, 3/18/18. https://doi.org/10.1109/VR.2018.8446048
Hanasaki A, Uchiyama H, Shlmada A, Taniquch RI. Deep Localization on Panoramic Images. In Steinicke F, Thomas B, Kiyokawa K, Welch G, editors, 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 567-568. 8446048. (25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings). https://doi.org/10.1109/VR.2018.8446048
Hanasaki, Atsutoshi ; Uchiyama, Hideaki ; Shlmada, Atsushi ; Taniquch, Rin Ichiro. / Deep Localization on Panoramic Images. 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings. editor / Frank Steinicke ; Bruce Thomas ; Kiyoshi Kiyokawa ; Greg Welch. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 567-568 (25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings).
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