Record link: 
http://hdl.handle.net/20.500.12708/153423
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Title: 
GigaDepth: Learning Depth from Structured Light with Branching Neural Networks
en
Citation: 
Schreiberhuber, S., Weibel, J.-B., Patten, T. M., & Vincze, M. (2022). GigaDepth: Learning Depth from Structured Light with Branching Neural Networks. In Computer Vision ECCV 2022 - 17th European Conference (pp. 214–229). https://doi.org/10.1007/978-3-031-19827-4_13
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Publisher DOI: 
10.1007/978-3-031-19827-4_13
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Schreiberhuber, Simon 
Weibel, Jean-Baptiste 
Patten, Timothy Michael 
Vincze, Markus 
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Organisational Unit: 
E376-02 - Forschungsbereich Komplexe Dynamische Systeme 
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Published in: 
Computer Vision ECCV 2022 - 17th European Conference 
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ISBN: 
978-3-031-19826-7
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Date (published): 
2-Nov-2022
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Event name: 
17th European Conference Computer Vision – ECCV 2022 
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Event date: 
23-Oct-2022 - 27-Oct-2022
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Event place: 
Tel Aviv, Israel
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Number of Pages: 
16
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Peer reviewed: 
Yes
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Keywords: 
Robotics; Computer Vision; Depth prediction
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Research Areas: 
Visual Computing and Human-Centered Technology: 50%
Automation and Robotics: 50%
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Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Appears in Collections:
Conference Paper

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