City-scale location services based on mobile augmented reality

Yun Chao Zhang; Jing Chen; Yong Tian Wang

doi:10.3969/j.issn.0372-2112.2014.08.007

City-scale location services based on mobile augmented reality

Yun Chao Zhang, Jing Chen^*, Yong Tian Wang

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Mobile Augmented Reality system presents surroundings in a way of virtual-real fusion for location-based services. This paper employs C/S architecture for vision-based mobile AR system, which solves the problem of processing speed and storage space on mobile phone. Vocabulary tree algorithm which is based on distributed clustering algorithm is used for city-scale scene recognition on the server. BRISK feature and optical flow algorithm is used in combination for visual tracking on mobile devices. Experimental results on UKbench and SUN397 show that the proposed distributed clustering algorithm can quickly build vocabulary tree and solve the limitations of memory. Mobile terminals keep real-time tracking through extraction of BRISK feature and design of parallel pipeline.

Original language	English
Pages (from-to)	1503-1508
Number of pages	6
Journal	Tien Tzu Hsueh Pao/Acta Electronica Sinica
Volume	42
Issue number	8
DOIs	https://doi.org/10.3969/j.issn.0372-2112.2014.08.007
Publication status	Published - 1 Aug 2014

Keywords

Augmented Reality
Distributed clustering
Mobile terminals
Optical tracking
Vocabulary tree

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10.3969/j.issn.0372-2112.2014.08.007

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title = "City-scale location services based on mobile augmented reality",

abstract = "Mobile Augmented Reality system presents surroundings in a way of virtual-real fusion for location-based services. This paper employs C/S architecture for vision-based mobile AR system, which solves the problem of processing speed and storage space on mobile phone. Vocabulary tree algorithm which is based on distributed clustering algorithm is used for city-scale scene recognition on the server. BRISK feature and optical flow algorithm is used in combination for visual tracking on mobile devices. Experimental results on UKbench and SUN397 show that the proposed distributed clustering algorithm can quickly build vocabulary tree and solve the limitations of memory. Mobile terminals keep real-time tracking through extraction of BRISK feature and design of parallel pipeline.",

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AU - Chen, Jing

AU - Wang, Yong Tian

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AB - Mobile Augmented Reality system presents surroundings in a way of virtual-real fusion for location-based services. This paper employs C/S architecture for vision-based mobile AR system, which solves the problem of processing speed and storage space on mobile phone. Vocabulary tree algorithm which is based on distributed clustering algorithm is used for city-scale scene recognition on the server. BRISK feature and optical flow algorithm is used in combination for visual tracking on mobile devices. Experimental results on UKbench and SUN397 show that the proposed distributed clustering algorithm can quickly build vocabulary tree and solve the limitations of memory. Mobile terminals keep real-time tracking through extraction of BRISK feature and design of parallel pipeline.

KW - Augmented Reality

KW - Distributed clustering

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KW - Optical tracking

KW - Vocabulary tree

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City-scale location services based on mobile augmented reality

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Keywords

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