Depth Analogy : Data-Driven Approach for Single Image Depth Estimation Using Gradient Samples
Inferring scene depth from a single monocular image is a highly ill-posed problem in computer vision. This paper presents a new gradient-domain approach, called depth analogy, that makes use of analogy as a means for synthesizing a target depth field, when a collection of RGB-D image pairs is given...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 12 vom: 24. Dez., Seite 5953-66
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| 1. Verfasser: |
Choi, Sunghwan
(VerfasserIn) |
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| Weitere Verfasser: |
Min, Dongbo,
Ham, Bumsub,
Kim, Youngjung,
Oh, Changjae,
Sohn, Kwanghoon |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2015
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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