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Conference object . 2026
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https://doi.org/10.5220/001433...
Article . 2026 . Peer-reviewed
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Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2026Publisher:SCITEPRESS - Science and Technology PublicationsJournal:Proceedings of the 21st International Conference on Computer Vision Theory and ApplicationsFunded by:EC | THEIA-XR
Authors: Timon Kanik; Philipp Fleck; Thomas Kernbauer; Clemens Arth;

doi: 10.5220/0014334200004084

Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware

Abstract

In this work, we revisit the topic of Mobile Visual Search (MVS), which was wrongly neglected in recent years. Image retrieval was sparked almost 28 years ago and different variants of MVS exist in SDKs for mobile devices for 10+ years, such as in Vuforia, ARKit, or ARCore. However, there are still severe limitations that hamper the practical use of MVS in modern AR applications, such as the maximum number of image targets. We investigate a modern and tunable MVS pipeline and provide an integration mechanism, which leverages vendor-based features from ARKit or ARCore to overcome these limitations. Finally, we provide a Unity plugin and associated training utilities for users to build huge databases for mobile handheld usage.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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