用网格投影加速VR中的SLAM，无需传感器数据
Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications
- 以网格几何投影作特征，降低计算开销
- 在VR设备上实现快速定位与建图
- 适合资源受限场景的虚拟现实原型开发
SLAM是机器人和增强现实/虚拟现实（AR/VR）中的基础技术。尽管SLAM仿真可用于验证新概念，但在资源受限设备（如VR头显）上测试仍面临高计算成本和传感器数据访问受限的问题。本文提出一种基于稀疏网格几何投影的SLAM框架，通过使用三维网格投影作为特征，显著提升效率，并避免直接访问传感器数据，从而推动了在虚拟现实环境中的实际应用与数值评估。
原文摘要 · Abstract (English)
SLAM is a foundational technique with broad applications in robotics and AR/VR. SLAM simulations evaluate new concepts, but testing on resource-constrained devices, such as VR HMDs, faces challenges: high computational cost and restricted sensor data access. This work proposes a sparse framework using mesh geometry projections as features, which improves efficiency and circumvents direct sensor data access, advancing SLAM research as we demonstrate in VR and through numerical evaluation.
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