Near-light Photometric Stereo with Symmetric Lights
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866911522345713664 |
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| author | Makabe, Lilika Guo, Heng Santo, Hiroaki Okura, Fumio Matsushita, Yasuyuki |
| author_facet | Makabe, Lilika Guo, Heng Santo, Hiroaki Okura, Fumio Matsushita, Yasuyuki |
| contents | This paper describes a linear solution method for near-light photometric stereo by exploiting symmetric light source arrangements. Unlike conventional non-convex optimization approaches, by arranging multiple sets of symmetric nearby light source pairs, our method derives a closed-form solution for surface normal and depth without requiring initialization. In addition, our method works as long as the light sources are symmetrically distributed about an arbitrary point even when the entire spatial offset is uncalibrated. Experiments showcase the accuracy of shape recovery accuracy of our method, achieving comparable results to the state-of-the-art calibrated near-light photometric stereo method while significantly reducing requirements of careful depth initialization and light calibration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_16404 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Near-light Photometric Stereo with Symmetric Lights Makabe, Lilika Guo, Heng Santo, Hiroaki Okura, Fumio Matsushita, Yasuyuki Computer Vision and Pattern Recognition This paper describes a linear solution method for near-light photometric stereo by exploiting symmetric light source arrangements. Unlike conventional non-convex optimization approaches, by arranging multiple sets of symmetric nearby light source pairs, our method derives a closed-form solution for surface normal and depth without requiring initialization. In addition, our method works as long as the light sources are symmetrically distributed about an arbitrary point even when the entire spatial offset is uncalibrated. Experiments showcase the accuracy of shape recovery accuracy of our method, achieving comparable results to the state-of-the-art calibrated near-light photometric stereo method while significantly reducing requirements of careful depth initialization and light calibration. |
| title | Near-light Photometric Stereo with Symmetric Lights |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2603.16404 |