A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Filtering enhanced tomographic PIV reconstruction based on deep neural networks
2020
IET Cyber-Systems and Robotics
Tomographic particle image velocimetry (Tomo-PIV) has been successfully applied in measuring three-dimensional (3D) flow field in recent years. Such technology highly relies on the reconstruction technique which provides the spatial particle distribution by using images from multiple cameras at different viewing angles. As the most popular reconstruction method, the multiplicative algebraic reconstruction technique (MART) has advantages in high computational speed and high accuracy for low
doi:10.1049/iet-csr.2019.0040
fatcat:snuywuyu3ra5plkpcp6kkrszgm