Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications

2025/01/16 by Carlos Sousa, Heiko Hamann, de Sousa, Carlos Augusto Pinheiro +3 · 2 citations
Computer Science · #Augmented Reality Applications #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Interactive and Immersive Displays #Robotics (cs.RO)

paper · pdf · doi:10.48550/arxiv.2501.09600

openalex publication_date 2025/01/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

Cited by

• The Evolving Landscape of Interactive Surface Sensing Technologies
• Co-Located VR with Hybrid SLAM-based HMD Tracking and Motion Capture Synchronization

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