92 citations · 256 across the 10 of their papers we have counts for
10 papers
Indoor simultaneous localization and mapping based on fringe projection profilometry
Yang Zhao, Kai Zhang, Haotian Yu +3
Simultaneous Localization and Mapping (SLAM) plays an important role in outdoor and indoor applications ranging from autonomous driving to indoor robotics. Outdoor SLAM has been wi…
Dual camera snapshot hyperspectral imaging system via physics informed learning
Hui Xie, Zhuang Zhao, Jing Han +3
We consider using the system's optical imaging process with convolutional neural networks (CNNs) to solve the snapshot hyperspectral imaging reconstruction problem, which uses a du…
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation
Xiaoyu Chen, Chi Zhang, Guosheng Lin +1
Point cloud segmentation is a fundamental visual understanding task in 3D vision. A fully supervised point cloud segmentation network often requires a large amount of data with poi…
Learning-based real-time method to looking through scattering medium beyond the memory effect
Enlai Guo, Shuo Zhu, Yan Sun +2
Strong scattering medium brings great difficulties to optical imaging, which is also a problem in medical imaging and many other fields. Optical memory effect makes it possible to…
Synchronous locating and imaging behind scattering medium in a large depth based on deep learning
Shuo Zhu, Enlai Guo, Qianying Cui +3
Scattering medium brings great difficulties to locate and image planar objects especially when the object has a large depth. In this letter, a novel learning-based method is presen…
Non-destructive three-dimensional measurement of hand vein based on self-supervised network
Xiaoyu Chen, Qixin Wang, Jinzhou Ge +2
At present, supervised stereo methods based on deep neural network have achieved impressive results. However, in some scenarios, accurate three-dimensional labels are inaccessible…
High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing
XiaoYu Chen, Xu Wang, Lianfa Bai +2
In this paper, we present a convolution neural network based method to recover the light intensity distribution from the overlapped dispersive spectra instead of adding an extra li…
Dynamic 3-D measurement based on fringe-to-fringe transformation using deep learning
Haotian Yu, Xiaoyu Chen, Zhao Zhang +3
Fringe projection profilometry (FPP) has become increasingly important in dynamic 3-D shape measurement. In FPP, it is necessary to retrieve the phase of the measured object before…
High-SNR snapshot multiplex spectrometer with sub-Hadamard-S matrix coding
Zhuang Zhao, Lianfa Bai, Jing Han +1
We present a robust high signal-to-noise ratio (SNR) snapshot multiplex spectrometer with sub-Hadamard-S matrix coding. We demonstrated for the first time that the sub-Hadamard-S m…
Residual Pyramid Learning for Single-Shot Semantic Segmentation
Xiaoyu Chen, Xiaotian Lou, Lianfa Bai +1
Pixel-level semantic segmentation is a challenging task with a huge amount of computation, especially if the size of input is large. In the segmentation model, apart from the featu…