Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications
Fuente:
arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866910795323932672 |
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| author | de Sousa, Carlos Augusto Pinheiro Hamann, Heiko Deussen, Oliver |
| author_facet | de Sousa, Carlos Augusto Pinheiro Hamann, Heiko Deussen, Oliver |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_09600 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications de Sousa, Carlos Augusto Pinheiro Hamann, Heiko Deussen, Oliver Robotics Computer Vision and Pattern Recognition 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. |
| title | Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications |
| topic | Robotics Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2501.09600 |