Dense monocular depth estimation for stereoscopic vision based on pyramid transformer and multi-scale feature fusion

Dense monocular depth estimation for stereoscopic vision based on pyramid transformer and multi-scale feature fusion

Abstract Stereoscopic display technology plays a significant role in industries, such as film, television and autonomous driving. The accuracy of depth estimation is crucial for achieving high-quality and realistic stereoscopic display effects. In addressing the inherent challenges of applying Trans...

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Bibliographic Details
Main Authors: Zhongyi Xia, Tianzhao Wu, Zhuoyan Wang, Man Zhou, Boqi Wu, C. Y. Chan, Ling Bing Kong
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Depth estimation
Transformer
Deep learning
Stereoscopic display
SPT-depth
Loss function
Online Access:https://doi.org/10.1038/s41598-024-57908-z

Internet

https://doi.org/10.1038/s41598-024-57908-z

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