Unsupervised Global and Local Homography Estimation With Motion Basis Learning
In this paper, we introduce a new framework for unsupervised deep homography estimation. Our contributions are 3 folds. First, unlike previous methods that regress 4 offsets for a homography, we propose a homography flow representation, which can be estimated by a weighted sum of 8 pre-defined homog...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 6 vom: 21. Juni, Seite 7885-7899
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| 1. Verfasser: |
Liu, Shuaicheng
(VerfasserIn) |
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| Weitere Verfasser: |
Lu, Yuhang,
Jiang, Hai,
Ye, Nianjin,
Wang, Chuan,
Zeng, Bing |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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