EA-EDNet: encapsulated attention encoder-decoder network for 3D reconstruction in low-light-level environment

3D reconstruction via neural networks has become striking nowadays. However, the existing works are based on information-rich environment to perform reconstruction, not yet about the Low-Light-Level (LLL) environment where the information is extremely scarce. The implementation of 3D reconstruction...

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Veröffentlicht in:	Multimedia systems Jg. 29; H. 4; S. 2263 - 2279
Hauptverfasser:	Deng, Yulin, Yin, Liju, Gao, Xiaoning, Zhou, Hui, Wang, Zhenzhou, Zou, Guofeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023 Springer Nature B.V
Schlagworte:	Computer Communication Networks Computer Graphics Computer Science Cryptology Data Storage Representation Datasets Deep learning Encapsulation Encoders-Decoders Image reconstruction Morphology Multimedia Information Systems Neural networks Operating Systems Regular Paper Training Computer stereo vision Low-light-level environment imaging 3D reconstruction
ISSN:	0942-4962, 1432-1882
Online-Zugang:	Volltext
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