Stereoscopic mobile Natural Feature Tracking

R. S. Davies; I. D. Wilson

doi:10.1109/GSCIT.2014.6970133

Stereoscopic mobile Natural Feature Tracking

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	GSCIT 2014 - Global Summit on Computer and Information Technology
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479956265
DOIs	https://doi.org/10.1109/GSCIT.2014.6970133
Publication status	Published - 1 Dec 2014
Event	Global Summit on Computer & Information Technology - Sousse, Tunisia Duration: 14 Jun 2014 → 16 Jun 2014

Conference

Conference	Global Summit on Computer & Information Technology
Abbreviated title	GSCIT 2014
Country/Territory	Tunisia
City	Sousse
Period	14/06/14 → 16/06/14

Keywords

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

Access to Document

10.1109/GSCIT.2014.6970133Licence: CC BY-NC-ND

1 Paper

Intelligent Systems Paradigms
Ware, J., Jun 2014.
Research output: Contribution to conference › Paper › peer-review

Cite this

@inproceedings{d79c7f2c632c4b0ab8db6ff272b47464,

title = "Stereoscopic mobile Natural Feature Tracking",

abstract = "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.",

keywords = "Augmented Reality, Computer Vision, Mobile Natural Feature Tracking, Natural Feature Tracking, Stereoscopic camera",

author = "Davies, {R. S.} and Wilson, {I. D.}",

year = "2014",

month = dec,

day = "1",

doi = "10.1109/GSCIT.2014.6970133",

language = "English",

booktitle = "GSCIT 2014 - Global Summit on Computer and Information Technology",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "Global Summit on Computer & Information Technology, GSCIT 2014 ; Conference date: 14-06-2014 Through 16-06-2014",

}

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T1 - Stereoscopic mobile Natural Feature Tracking

AU - Davies, R. S.

AU - Wilson, I. D.

PY - 2014/12/1

Y1 - 2014/12/1

N2 - 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.

AB - 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.

KW - Augmented Reality

KW - Computer Vision

KW - Mobile Natural Feature Tracking

KW - Natural Feature Tracking

KW - Stereoscopic camera

U2 - 10.1109/GSCIT.2014.6970133

DO - 10.1109/GSCIT.2014.6970133

M3 - Conference contribution

AN - SCOPUS:84929377995

BT - GSCIT 2014 - Global Summit on Computer and Information Technology

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Global Summit on Computer & Information Technology

Y2 - 14 June 2014 through 16 June 2014

ER -

Stereoscopic mobile Natural Feature Tracking

Abstract

Conference

Keywords

Access to Document

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Research output

Intelligent Systems Paradigms

Cite this