Single-Model Self-Recovering Fringe Projection Profilometry Absolute Phase Recovery Method Based on Deep Learning

A drawback of fringe projection profilometry (FPP) is that it is still a challenge to perform efficient and accurate high-resolution absolute phase recovery with only a single measurement. This paper proposes a single-model self-recovering fringe projection absolute phase recovery method based on de...

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Autori principali:	Xu Li, Yihao Shen, Qifu Meng, Mingyi Xing, Qiushuang Zhang, Hualin Yang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-03-01
Serie:	Sensors
Soggetti:	fringe projection absolute phase recovery three-dimensional reconstruction convolutional neural networks deep learning
Accesso online:	https://www.mdpi.com/1424-8220/25/5/1532
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