A Robust Light-Weight Fused-Feature Encoder-Decoder Model for Monocular Facial Depth Estimation From Single Images Trained on Synthetic Data

Due to the real-time acquisition and reasonable cost of consumer cameras, monocular depth maps have been employed in a variety of visual applications. Regarding ongoing research in depth estimation, they continue to suffer from low accuracy and enormous sensor noise. To improve the prediction of dep...

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Autori principali:	Faisal Khan, Waseem Shariff, Muhammad Ali Farooq, Shubhajit Basak, Peter Corcoran
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2023-01-01
Serie:	IEEE Access
Soggetti:	Facial depth estimation feature fusion encoder-decoder architecture deep learning
Accesso online:	https://ieeexplore.ieee.org/document/10103585/
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