Poster: Reliable 3D Reconstruction for Ad-hoc Edge Implementations
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866912120919031808 |
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| author | Absur, Md Nurul Brahma, Swastik Debroy, Saptarshi |
| author_facet | Absur, Md Nurul Brahma, Swastik Debroy, Saptarshi |
| contents | Ad-hoc edge deployments to support real-time complex video processing applications such as, multi-view 3D reconstruction often suffer from spatio-temporal system disruptions that greatly impact reconstruction quality. In this poster paper, we present a novel portfolio theory-inspired edge resource management strategy to ensure reliable multi-view 3D reconstruction by accounting for possible system disruptions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_10705 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Poster: Reliable 3D Reconstruction for Ad-hoc Edge Implementations Absur, Md Nurul Brahma, Swastik Debroy, Saptarshi Computer Vision and Pattern Recognition Ad-hoc edge deployments to support real-time complex video processing applications such as, multi-view 3D reconstruction often suffer from spatio-temporal system disruptions that greatly impact reconstruction quality. In this poster paper, we present a novel portfolio theory-inspired edge resource management strategy to ensure reliable multi-view 3D reconstruction by accounting for possible system disruptions. |
| title | Poster: Reliable 3D Reconstruction for Ad-hoc Edge Implementations |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.10705 |