Head-tracking virtual 3-D display for mobile devices

Miguel Bordallo López*, Jari Hannuksela, Olli Silvén, Lixin Fan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

9 Citations (Scopus)

Abstract

Computer vision enables camera data to be utilized in user interfaces to analyze the 3-D context and automatically detect the user intentions. Using cameras as an input modality provides single-handed operations in which the users' actions are recognized without interactions with the screen or keypad. In this context, we have constructed a real-time mobile application prototype where the user's position and gaze is determined in real time, a technique that enables the display of true three-dimensional objects even on a typical 2-D LCD screen. We have defined a series of interaction methods where the user's motion and camera input realistically control the viewpoint on a 3-D scene. The head movement and gaze can be used to interact with hidden objects in a natural manner just by looking at them. We provide a description of the embedded implementation at a system-level where we highlight the application development challenges and trade-offs that need to be dealt with battery powered mobile devices. The implementation includes a parallel pipeline that reduces the latencies of the application.

Original languageEnglish
Title of host publication2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages27-34
ISBN (Print)978-146731611-8
DOIs
Publication statusPublished - 2012
MoE publication typeA4 Article in a conference publication
Event2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012 - Providence, RI, United States
Duration: 16 Jun 201221 Jun 2012

Publication series

SeriesIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN2160-7508

Conference

Conference2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012
Country/TerritoryUnited States
CityProvidence, RI
Period16/06/1221/06/12

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