Photonics, Free Full-Text
Por um escritor misterioso
Descrição
Photons Counted Integral Imaging (PCII) reconstructs 3D scenes with both focused and off-focused voxels. The off-focused portions do not contain or convey any visually valuable information and are therefore redundant. In this work, for the first time, we developed a six-ensembled Deep Neural Network (DNN) to identify and remove the off-focused voxels from both the conventional computational integral imaging and PCII techniques. As a preprocessing step, we used the standard Otsu thresholding technique to remove the obvious and unwanted background. We then used the preprocessed data to train the proposed six ensembled DNNs. The results demonstrate that the proposed methodology can efficiently discard the off-focused points and reconstruct a focused-only 3D scene with an accuracy of 98.57%.
Deep learning for the design of photonic structures
Photonics Wyant College of Optical Sciences
New Research on A Low-Complexity Joint Compensation Scheme of Carrier Recovery for Coherent Free-Space Optical Communication (Open-Access, Full- Text)
Laser & Photonics Reviews: Vol 17, No 11
2022 IEEE 9th International Conference on Photonics – IEEE Malaysia Section
IEEE Photonics Technology Letters - IEEE Photonics Society
IEEE Photonics Journal - IEEE Photonics Society
Photonics Focus Magazine Vol. 3 Issue 1
IPG Photonics Full Year 2022 Earnings: Revenues Beat Expectations, EPS Lags
PDF) Molding free-space light with guided wave–driven metasurfaces
de
por adulto (o preço varia de acordo com o tamanho do grupo)
