Deep Photometric Stereo for Non-Lambertian Surfaces
This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated scenarios, for non-Lambertian surfaces based on deep learning. We first introduce a fully convolutional deep network for calibrated photometric stereo, which we call PS-FCN. Unlike traditional approaches that...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 1 vom: 30. Jan., Seite 129-142
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| Auteur principal: |
Chen, Guanying
(Auteur) |
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| Autres auteurs: |
Han, Kai,
Shi, Boxin,
Matsushita, Yasuyuki,
Wong, Kwan-Yee K |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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