A novel method resolving the overlapped peaks of the waveform Lidar is presented. It combines a matched filter with an iterative deconvolution. Simulation results demonstrate the superiority of this method compared wi...
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The autostereoscopic 3ddisplay has two important indicators, both the number of viewpoints anddisplay resolution. However, it's a challenge to improve both the viewpoint and the resolution. Here, we develop a fi...
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We proposed the Gaussian weighted matching norm (GWMN) to measure the region matching distance for light field, which can effectively suppress the mismatch from occlusion, and realize high-accuracy scene depth reconst...
The high-resolution light fieldimageacquisition method using a one-dimensional camera array is proposed. The system consists of multiple high-resolution cameras and the multifunctional smart motor-driven stage. The ...
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In this talk I will describe how joint optimization of the microscope’s point-spread-function alongside the image processing algorithm, both using neural nets, enables dense emitter fitting for super-resolution micro...
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A custom built fluorescence microscope with an electrically tunable lens is used to acquire multi-focus z-stacks of thick biological samples under multispectral illumination. Acquired information allows for 3d visuali...
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Stereo-polarimetric compressed ultrafast photography is developed and applied to 3d ultrafast imaging of the linear polarization properties of a single ultrashort laser pulse propagating in a scattering medium at 100 ...
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: In this work, we evaluate the impact of non-linear distortion on learning based approaches for depth estimation. We use real wide angle images with locally increased resolutions to see how it compares with perspecti...
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