Evaluating Panoramic 3D Estimation in Indoor Lighting Analysis
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866911880774156288 |
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| author | Cheng, Zining Ji, Guanzhou |
| author_facet | Cheng, Zining Ji, Guanzhou |
| contents | This paper presents the use of panoramic 3D estimation in lighting simulation. Conventional lighting simulation necessitates detailed modeling as input, resulting in significant labor effort and time cost. The 3D layout estimation method directly takes a single panorama as input and generates a lighting simulation model with room geometry and window aperture. We evaluate the simulation results by comparing the luminance errors between on-site High Dynamic Range (HDR) photographs, 3D estimation model, and detailed model in panoramic representation and fisheye perspective. Given the selected scene, the results demonstrate the estimated room layout is reliable for lighting simulation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_14836 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Evaluating Panoramic 3D Estimation in Indoor Lighting Analysis Cheng, Zining Ji, Guanzhou Computer Vision and Pattern Recognition This paper presents the use of panoramic 3D estimation in lighting simulation. Conventional lighting simulation necessitates detailed modeling as input, resulting in significant labor effort and time cost. The 3D layout estimation method directly takes a single panorama as input and generates a lighting simulation model with room geometry and window aperture. We evaluate the simulation results by comparing the luminance errors between on-site High Dynamic Range (HDR) photographs, 3D estimation model, and detailed model in panoramic representation and fisheye perspective. Given the selected scene, the results demonstrate the estimated room layout is reliable for lighting simulation. |
| title | Evaluating Panoramic 3D Estimation in Indoor Lighting Analysis |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2403.14836 |