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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.15376 |
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| _version_ | 1866929551613886464 |
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| author | Ichimaru, Kazuto Ikeda, Takaki Thomas, Diego Iwaguchi, Takafumi Kawasaki, Hiroshi |
| author_facet | Ichimaru, Kazuto Ikeda, Takaki Thomas, Diego Iwaguchi, Takafumi Kawasaki, Hiroshi |
| contents | 3D-shape reconstruction in extreme environments, such as low illumination or scattering condition, has been an open problem and intensively researched. Active stereo is one of potential solution for such environments for its robustness and high accuracy. However, active stereo systems usually consist of specialized system configurations with complicated algorithms, which narrow their application. In this paper, we propose Neural Signed Distance Field for active stereo systems to enable implicit correspondence search and triangulation in generalized Structured Light. With our technique, textureless or equivalent surfaces by low light condition are successfully reconstructed even with a small number of captured images. Experiments were conducted to confirm that the proposed method could achieve state-of-the-art reconstruction quality under such severe condition. We also demonstrated that the proposed method worked in an underwater scenario. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_15376 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ActiveNeuS: Neural Signed Distance Fields for Active Stereo Ichimaru, Kazuto Ikeda, Takaki Thomas, Diego Iwaguchi, Takafumi Kawasaki, Hiroshi Computer Vision and Pattern Recognition 3D-shape reconstruction in extreme environments, such as low illumination or scattering condition, has been an open problem and intensively researched. Active stereo is one of potential solution for such environments for its robustness and high accuracy. However, active stereo systems usually consist of specialized system configurations with complicated algorithms, which narrow their application. In this paper, we propose Neural Signed Distance Field for active stereo systems to enable implicit correspondence search and triangulation in generalized Structured Light. With our technique, textureless or equivalent surfaces by low light condition are successfully reconstructed even with a small number of captured images. Experiments were conducted to confirm that the proposed method could achieve state-of-the-art reconstruction quality under such severe condition. We also demonstrated that the proposed method worked in an underwater scenario. |
| title | ActiveNeuS: Neural Signed Distance Fields for Active Stereo |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2410.15376 |