Edge-guided single facial depth map super-resolution using CNN (Englisch)
Freier Zugriff
- Neue Suche nach: Zhang, Fan
- Neue Suche nach: Liu, Na
- Neue Suche nach: Chang, Liang
- Neue Suche nach: Duan, Fuqing
- Neue Suche nach: Deng, Xiaoming
- Neue Suche nach: Zhang, Fan
- Neue Suche nach: Liu, Na
- Neue Suche nach: Chang, Liang
- Neue Suche nach: Duan, Fuqing
- Neue Suche nach: Deng, Xiaoming
In:
IET Image Processing
;
14
, 17
;
4708-4716
;
2021
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Edge-guided single facial depth map super-resolution using CNN
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Beteiligte:Zhang, Fan ( Autor:in ) / Liu, Na ( Autor:in ) / Chang, Liang ( Autor:in ) / Duan, Fuqing ( Autor:in ) / Deng, Xiaoming ( Autor:in )
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Erschienen in:IET Image Processing ; 14, 17 ; 4708-4716
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:24.02.2021
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Format / Umfang:9 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:convolutional neural nets , 3D-face-related studies , human-machine interaction , image reconstruction , super-resolved depth map , edge prediction sub-network , face poses , consumer depth cameras , edge guidance map , feature extraction , depth reconstruction sub-network , image colour analysis , human face , face recognition , edge detection , stereo image processing , input depth maps , image resolution , digital entertainment , synthetic facial depth data , image sensors , edge-guided single facial depth map super-resolution , cameras , edge-guided convolutional neural network , sharp edges , Kinect V2 facial depth data , rich 3D information
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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