Through the Curved Cover: Synthesizing Cover Aberrated Scenes with Refractive Field
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866910692811997184 |
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| author | Xie, Liuyue Guo, Jiancong Jeni, Laszlo A. Jia, Zhiheng Li, Mingyang Zhou, Yunwen Guo, Chao |
| author_facet | Xie, Liuyue Guo, Jiancong Jeni, Laszlo A. Jia, Zhiheng Li, Mingyang Zhou, Yunwen Guo, Chao |
| contents | Recent extended reality headsets and field robots have adopted covers to protect the front-facing cameras from environmental hazards and falls. The surface irregularities on the cover can lead to optical aberrations like blurring and non-parametric distortions. Novel view synthesis methods like NeRF and 3D Gaussian Splatting are ill-equipped to synthesize from sequences with optical aberrations. To address this challenge, we introduce SynthCover to enable novel view synthesis through protective covers for downstream extended reality applications. SynthCover employs a Refractive Field that estimates the cover's geometry, enabling precise analytical calculation of refracted rays. Experiments on synthetic and real-world scenes demonstrate our method's ability to accurately model scenes viewed through protective covers, achieving a significant improvement in rendering quality compared to prior methods. We also show that the model can adjust well to various cover geometries with synthetic sequences captured with covers of different surface curvatures. To motivate further studies on this problem, we provide the benchmarked dataset containing real and synthetic walkable scenes captured with protective cover optical aberrations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_06365 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Through the Curved Cover: Synthesizing Cover Aberrated Scenes with Refractive Field Xie, Liuyue Guo, Jiancong Jeni, Laszlo A. Jia, Zhiheng Li, Mingyang Zhou, Yunwen Guo, Chao Computer Vision and Pattern Recognition Recent extended reality headsets and field robots have adopted covers to protect the front-facing cameras from environmental hazards and falls. The surface irregularities on the cover can lead to optical aberrations like blurring and non-parametric distortions. Novel view synthesis methods like NeRF and 3D Gaussian Splatting are ill-equipped to synthesize from sequences with optical aberrations. To address this challenge, we introduce SynthCover to enable novel view synthesis through protective covers for downstream extended reality applications. SynthCover employs a Refractive Field that estimates the cover's geometry, enabling precise analytical calculation of refracted rays. Experiments on synthetic and real-world scenes demonstrate our method's ability to accurately model scenes viewed through protective covers, achieving a significant improvement in rendering quality compared to prior methods. We also show that the model can adjust well to various cover geometries with synthetic sequences captured with covers of different surface curvatures. To motivate further studies on this problem, we provide the benchmarked dataset containing real and synthetic walkable scenes captured with protective cover optical aberrations. |
| title | Through the Curved Cover: Synthesizing Cover Aberrated Scenes with Refractive Field |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.06365 |