Generalized Fringe-to-Phase Framework for Single-Shot 3D Reconstruction Integrating Structured Light with Deep Learning

Generalized Fringe-to-Phase Framework for Single-Shot 3D Reconstruction Integrating Structured Light with Deep Learning

Three-dimensional (3D) shape acquisition of objects from a single-shot image has been highly demanded by numerous applications in many fields, such as medical imaging, robotic navigation, virtual reality, and product in-line inspection. This paper presents a robust 3D shape reconstruction approach i...

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Bibliographic Details
Main Authors: Lam, V.K (Author), Ly, K.L (Author), Nguyen, A.-H (Author), Wang, Z. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
3D reconstruction
article
artificial neural network
convolutional neural network
Convolutional neural network
Convolutional neural networks
deep learning
Deep learning
fringe-to-phase transformation
Fringe-to-phase transformation
Image acquisition
Image reconstruction
Medical imaging
Phases transformation
Single-shot
single-shot imaging
Single-shot imaging
Structured Light
three-dimensional image acquisition
Three-dimensional image acquisition
three-dimensional sensing
Three-dimensional sensing
Virtual reality
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