EVALUATING MONOCULAR DEPTH ESTIMATION METHODS
Abstract. Depth estimation from monocular images has become a prominent focus in photogrammetry and computer vision research. Monocular Depth Estimation (MDE), which involves determining depth from a single RGB image, offers numerous advantages, including applications in simultaneous localization and mapping (SLAM), scene comprehension, 3D modeling, robotics, and autonomous driving. Depth information retrieval becomes especially crucial in situations where other sources like stereo images, optical flow, or point clouds are not available. In contrast to traditional stereo or multi-view methods, MDE techniques require fewer computational resources and smaller datasets. This research work presents a comprehensive analysis and evaluation of some state-of-the-art MDE methods, considering their ability to infer depth information in terrestrial images. The evaluation includes quantitative assessments using ground truth data, including 3D analyses and inference time.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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EVALUATING MONOCULAR DEPTH ESTIMATION METHODS ; volume:XLVIII-1/W3-2023 ; year:2023 ; pages:137-144 ; extent:8
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-1/W3-2023 (2023), 137-144 (gesamt 8)
- Klassifikation
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Informatik
- Urheber
- DOI
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10.5194/isprs-archives-XLVIII-1-W3-2023-137-2023
- URN
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urn:nbn:de:101:1-2023102604414927874856
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:57 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Padkan, N.
- Trybala, P.
- Battisti, R.
- Remondino, Fabio
- Bergeret, C.
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