Visual Computing

University of Konstanz
2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW),

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

C. A. P. de Sousa, H. Hamann, O. Deussen
Teaser of  Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications

ATE comparison at 30 FPS and 75 FPS for ORB-SLAM2 (left) and Mesh2SLAM (right).

Material

Paper (.pdf, 2.0MB)

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.

BibTeX

@inproceedings{Sousa2025Mesh2SLAMVRFast,
  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.},
  address   = {Los Alamitos, CA, USA},
  author    = {C. A. P. de Sousa, H. Hamann, O. Deussen},
  booktitle = {2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},
  doi       = {10.1109/VRW66409.2025.00021},
  keywords  = {Location awareness;Geometry;Solid modeling;Simultaneous localization and mapping;Three-dimensional displays;Tracking;Computational modeling;Refining;Virtual environments;User interfaces},
  month     = {March},
  pages     = {57-62},
  publisher = {IEEE Computer Society},
  title     = { Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications },
  url       = {https://doi.ieeecomputersociety.org/10.1109/VRW66409.2025.00021},
  year      = {2025}
}