Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness

We present Uncertainty-aware Cascaded Stereo Network (UCS-Net) for 3D reconstruction from multiple RGB images. Multi-view stereo (MVS) aims to reconstruct fine-grained scene geometry from multi-view images. Previous learning-based MVS methods estimate per-view depth using plane sweep volumes (PSVs)...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 2521 - 2531
Hlavní autori:	Cheng, Shuo, Xu, Zexiang, Zhu, Shilin, Li, Zhuwen, Li, Li Erran, Ramamoorthi, Ravi, Su, Hao
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2020
Predmet:	Feature extraction Geometry Image reconstruction Image resolution Memory management Three-dimensional displays Uncertainty
ISSN:	1063-6919
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