RDFC-GAN : RGB-Depth Fusion CycleGAN for Indoor Depth Completion
Raw depth images captured in indoor scenarios frequently exhibit extensive missing values due to the inherent limitations of the sensors and environments. For example, transparent materials frequently elude detection by depth sensors; surfaces may introduce measurement inaccuracies due to their poli...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 11 vom: 27. Okt., Seite 7088-7101
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| 1. Verfasser: |
Wang, Haowen
(VerfasserIn) |
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| Weitere Verfasser: |
Che, Zhengping,
Yang, Yufan,
Wang, Mingyuan,
Xu, Zhiyuan,
Qiao, Xiuquan,
Qi, Mengshi,
Feng, Feifei,
Tang, Jian |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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