GR-PSN : Learning to Estimate Surface Normal and Reconstruct Photometric Stereo Images
In this paper, we propose a novel method, namely GR-PSN, which learns surface normals from photometric stereo images and generates the photometric images under distant illumination from different lighting directions and surface materials. The framework is composed of two subnetworks, named GeometryN...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 9 vom: 03. Aug., Seite 6192-6207
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| 1. Verfasser: |
Ju, Yakun
(VerfasserIn) |
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| Weitere Verfasser: |
Shi, Boxin,
Chen, Yang,
Zhou, Huiyu,
Dong, Junyu,
Lam, Kin-Man |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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