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UltraArUco library offers low-latency AR tracking for mobile devices

By PulseAugur Editorial · [1 sources] ·

A new library called UltraArUco has been developed for low-latency, real-time marker-based tracking in mobile augmented reality applications. This framework, created by Miguel Altamirano Cabrera, offers a five-fold reduction in per-frame latency compared to standard OpenCV implementations while maintaining accuracy. Its distributed Wi-Fi architecture allows a mobile device to connect with a PC for visual applications, making it suitable for resource-constrained environments. AI

IMPACT This library could enable more responsive and resource-efficient mobile AR applications, particularly in areas like interactive simulations and music applications.

RANK_REASON The cluster describes a new library and framework for AR interaction, detailed in an arXiv paper. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

UltraArUco library offers low-latency AR tracking for mobile devices

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The cluster describes a new library and framework for AR interaction, detailed in an arXiv paper. [lever_c_demoted from research: ic=1 ai=0.7]
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High
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51 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mikhail Kiselev, Aleksandr Marukhin, Ivan Snegirev, Elizaveta Semenyakina, Miguel Altamirano Cabrera, Dzmitry Tsetserukou ·

    UltraArUco: A Lightweight Multilingual Library And Framework With Low-Latency Real-Time Marker-Based Tracking System For Mobile AR Interaction

    arXiv:2608.13584v1 Announce Type: cross Abstract: UltraArUco - a lightweight multilingual library and framework for low-latency, real-time marker-based tracking in mobile augmented reality. Unlike standard OpenCV-based implementations, UltraArUco introduces an optimized multiling…

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