Indoor Heat Estimation from a Single Visible-Light Panorama
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915562253189120 |
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| author | Ji, Guanzhou Narayanan, Sriram Sawyer, Azadeh Narasimhan, Srinivasa |
| author_facet | Ji, Guanzhou Narayanan, Sriram Sawyer, Azadeh Narasimhan, Srinivasa |
| contents | This paper introduces a novel image-based rendering technique for jointly estimating indoor lighting and thermal conditions from paired indoor-outdoor high dynamic range (HDR) panoramas. Our method uses the indoor panorama to estimate the 3D floor layout, while the corresponding outdoor panorama serves as an environment map to infer spatially-varying illumination and material properties. Assuming indoor surfaces are Lambertian and that all heat originates from outdoor visible light, we model the relationship between light transport and heat transfer, and perform transient heat simulations to generate indoor temperature distributions. The simulated heat maps are validated against real-world thermal images captured with an infrared camera. This approach supports photorealistic and physically informed visualization, enabling integrated light and heat estimation to advance traditional virtual home staging. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_06973 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Indoor Heat Estimation from a Single Visible-Light Panorama Ji, Guanzhou Narayanan, Sriram Sawyer, Azadeh Narasimhan, Srinivasa Computer Vision and Pattern Recognition This paper introduces a novel image-based rendering technique for jointly estimating indoor lighting and thermal conditions from paired indoor-outdoor high dynamic range (HDR) panoramas. Our method uses the indoor panorama to estimate the 3D floor layout, while the corresponding outdoor panorama serves as an environment map to infer spatially-varying illumination and material properties. Assuming indoor surfaces are Lambertian and that all heat originates from outdoor visible light, we model the relationship between light transport and heat transfer, and perform transient heat simulations to generate indoor temperature distributions. The simulated heat maps are validated against real-world thermal images captured with an infrared camera. This approach supports photorealistic and physically informed visualization, enabling integrated light and heat estimation to advance traditional virtual home staging. |
| title | Indoor Heat Estimation from a Single Visible-Light Panorama |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2502.06973 |