In this paper, we introduce a Natural Feature Tracking (NFT) system capable of running at real-time on limited powered devices. Combining current vision techniques with stereoscopic cameras has benefits that reduce processing expense and increase the suitability of the resultant data. The novel use of stereoscopic imaging centered within a single device allows for extraction of features from dynamic backgrounds where the camera is not bound to a single fixed point and is subject to 6DOF. The System achieves frame rates in excess of 15fps operating on a single 1GHz core mobile device. The device used has a dual core allowing the addition of virtual content for augmentation without affecting the performance of the tracker.

Original languageEnglish
Title of host publicationGSCIT 2014 - Global Summit on Computer and Information Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479956265
DOIs
Publication statusPublished - 1 Dec 2014
EventGlobal Summit on Computer & Information Technology - Sousse, Tunisia
Duration: 14 Jun 201416 Jun 2014

Conference

ConferenceGlobal Summit on Computer & Information Technology
Abbreviated titleGSCIT 2014
CountryTunisia
CitySousse
Period14/06/1416/06/14

    Research areas

  • Augmented Reality, Computer Vision, Mobile Natural Feature Tracking, Natural Feature Tracking, Stereoscopic camera

ID: 1166372