UltraArUco：面向移动AR交互的轻量多语言库与框架，含低延迟实时基于标记的跟踪系统
UltraArUco: A Lightweight Multilingual Library And Framework With Low-Latency Real-Time Marker-Based Tracking System For Mobile AR Interaction
- Skolkovo Institute of Science and Technology（斯科尔科沃科学技术研究院）
机构由 AI 辅助整理，请以论文原文为准。
中文总结 AI 辅助
UltraArUco是一款轻量多语言AR框架，通过优化包装器将跟踪延迟降至五分之一，结合分布式Wi-Fi架构，经交互式钢琴仿真验证，可实现资源受限移动设备的AR音乐交互。
中文摘要 AI 辅助
UltraArUco是一款面向移动增强现实（AR）的轻量多语言库与框架，用于低延迟、实时的基于标记的跟踪。与基于标准OpenCV的实现不同，UltraArUco引入了优化的多语言包装器，将每帧延迟降低至原来的五分之一，同时保持高准确率。分布式Wi-Fi架构提供可移植性，连接移动设备（摄像头输入）与基于PC的视觉应用，实现响应式交互。该框架通过交互式钢琴仿真验证：琴键上的静态ArUco标记支持基于遮挡的音符触发，安装在手上的标记提供空间手势识别。UltraArUco的系统要求使其完美适配资源受限的移动AR应用，无需专用设备即可实现可行的AR音乐应用。
英文摘要
UltraArUco is a lightweight multilingual library and framework for low latency, realtime marker-based tracking in mobile augmented reality. Unlike standard OpenCV-based implementations, UltraArUco introduces an optimized multilingual wrapper that reduces per-frame latency in six times, while maintaining high accuracy. Distributed Wi-Fi architecture provides portability, connects a mobile device (camera input) with a PC-based visual application, enabling responsive interactions. The framework is validated through an interactive piano simulation, where static ArUco markers on keys enable occlusion based note triggering, and hand-mounted markers provide spatial gesture recognition. UltraArUco's system requirements make it highly suitable for resource-constrained mobile AR applications, demonstrating a viable AR music application without specialized equipment.
