Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications
In this paper, a novel convolutional neural network (CNN)-based framework is developed for light field reconstruction from a sparse set of views. We indicate that the reconstruction can be efficiently modeled as angular restoration on an epipolar plane image (EPI). The main problem in direct reconst...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 7 vom: 18. Juli, Seite 1681-1694
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| 1. Verfasser: |
Wu, Gaochang
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Yebin,
Fang, Lu,
Dai, Qionghai,
Chai, Tianyou |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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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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