U-ETMVSNet: Uncertainty-Epipolar Transformer Multi-View Stereo Network for Object Stereo Reconstruction

U-ETMVSNet: Uncertainty-Epipolar Transformer Multi-View Stereo Network for Object Stereo Reconstruction

The Multi-View Stereo model (MVS), which utilizes 2D images from multiple perspectives for 3D reconstruction, is a crucial technique in the field of 3D vision. To address the poor correlation between 2D features and 3D space in existing MVS models, as well as the high sampling rate required for stat...

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Bibliographic Details
Main Authors: Ning Zhao, Heng Wang, Quanlong Cui, Lan Wu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
multi-view stereo
transformer
depth inference
differentiable homography warping
image processing
neural network
Online Access:https://www.mdpi.com/2076-3417/14/6/2223

Internet

https://www.mdpi.com/2076-3417/14/6/2223

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