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The Journal of Supercomputing

Erschienen in:

01.09.2013

How mobile phones perform in collaborative augmented reality (CAR) applications

verfasst von: Víctor Fernández, Juan M. Orduña, Pedro Morillo

Erschienen in: The Journal of Supercomputing | Ausgabe 3/2013

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Abstract

This paper presents the experimental analysis of mobile phones for Augmented Reality marker tracking, a core task that any CAR application must include. The results show that the most time consuming stage is the marker detection stage, followed by the image acquisition stage. Moreover, the rendering stage is decoupled on some devices, depending on the operative system used. This decoupling process allows avoiding low refresh rates, facilitating the collaborative work. However, the use of multicore devices does not significantly improve the performance provided by CAR applications. Finally, the results show that unless a poor network bandwidth makes the network to become the system bottleneck, the performance of CAR applications based on mobile phones will be limited by the detection stage. These results can be used as the basis for an efficient design of CAR systems and applications based on mobile phones.

Vorheriger Artikel Hierarchical approaches for multicast based on Euclid’s algorithm

Nächster Artikel Network numerical analysis for the smoother and the lagged joint-process estimator

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Titel: How mobile phones perform in collaborative augmented reality (CAR) applications
verfasst von: Víctor Fernández
Juan M. Orduña
Pedro Morillo
Publikationsdatum: 01.09.2013
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 3/2013
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-013-0925-8

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