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

UltraArUco库为移动设备提供低延迟AR跟踪

一个名为UltraArUco的新库已被开发出来,用于移动增强现实应用中的低延迟、实时基于标记的跟踪。该框架由Miguel Altamirano Cabrera创建,与标准的OpenCV实现相比,每帧延迟降低了五倍,同时保持了准确性。其分布式Wi-Fi架构允许移动设备与PC连接以进行视觉应用,使其适用于资源受限的环境。 AI

影响 该库可以实现更具响应性和资源效率的移动AR应用,特别是在交互式模拟和音乐应用等领域。

排序理由 该集群描述了一个用于AR交互的新库和框架,详细介绍在一篇arXiv论文中。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

UltraArUco库为移动设备提供低延迟AR跟踪

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该集群描述了一个用于AR交互的新库和框架,详细介绍在一篇arXiv论文中。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

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

    UltraArUco:一个轻量级的多语言库和框架,具有低延迟的实时基于标记的跟踪系统,用于移动AR交互

    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…