On the Confidence of Stereo Matching in a Deep-Learning Era : A Quantitative Evaluation
Stereo matching is one of the most popular techniques to estimate dense depth maps by finding the disparity between matching pixels on two, synchronized and rectified images. Alongside with the development of more accurate algorithms, the research community focused on finding good strategies to esti...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 9 vom: 04. Sept., Seite 5293-5313
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| 1. Verfasser: |
Poggi, Matteo
(VerfasserIn) |
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| Weitere Verfasser: |
Kim, Seungryong,
Tosi, Fabio,
Kim, Sunok,
Aleotti, Filippo,
Min, Dongbo,
Sohn, Kwanghoon,
Mattoccia, Stefano |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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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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