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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 1 vom: 30. Jan., Seite 129-142
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| 1. Verfasser: |
Chen, Guanying
(VerfasserIn) |
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| Weitere Verfasser: |
Han, Kai,
Shi, Boxin,
Matsushita, Yasuyuki,
Wong, Kwan-Yee K |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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