activity
20182025
most citedFringe pattern analysis using deep learning

450 citations · 697 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Multi-view imaging in networked sensing systems: A covariance-based approach

Junyuan Gao, Weifeng Zhu, Yanmo Hu +5

This paper considers multi-view imaging in a sixth-generation (6G) integrated sensing and communication network, which consists of a transmit base-station (BS), multiple receive BS…

eess.SP2023

Metasurface Sensing Approach to DOA Estimation of Coherent Signals

Yishuo Zhao, Yan Hu, Yougen Xu

The DOA estimation method of coherent signals based on periodical coding metasurface is proposed. After periodical coding, the DOA information of incident signals in the time domai…

eess.IV2020★ 208 cited

Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement

Jiaming Qian, Shijie Feng, Tianyang Tao +4

Fringe projection profilometry (FPP) is one of the most popular three-dimensional (3D) shape measurement techniques, and has becoming more prevalently adopted in intelligent manufa…

eess.IV2018★ 39 cited

Microscopic 3D measurement of shiny surfaces based on a multi-frequency phase-shifting scheme

Yan Hu, Qian Chen, Yichao Liang +3

Microscopic fringe projection profilometry is a powerful 3D measurement technique with a theoretical measurement accuracy better than one micron provided that the measured targets…

eess.IV2018★ 450 cited

Fringe pattern analysis using deep learning

Shijie Feng, Qian Chen, Guohua Gu +5

In many optical metrology techniques, fringe pattern analysis is the central algorithm for recovering the underlying phase distribution from the recorded fringe patterns. Despite e…