Results 1 to 10 of about 8,886 (172)

Deep Learning-Based 3D Measurements with Near-Infrared Fringe Projection [PDF]

Sensors, 2022
Fringe projection profilometry (FPP) is widely applied to 3D measurements, owing to its advantages of high accuracy, non-contact, and full-field scanning.
Jinglei Wang, Yixuan Li, Yifan Ji, Jiaming Qian, Yuxuan Che, Chao Zuo, Qian Chen, Shijie Feng   +7 more
doaj   +2 more sources

Lens-Free On-Chip Quantitative Phase Microscopy for Large Phase Objects Based on a Biplane Phase Retrieval Method [PDF]

Sensors
Lens-free on-chip microscopy (LFOCM) is a powerful computational imaging technology that combines high-throughput capabilities with cost efficiency. However, in LFOCM, the phase recovered by iterative phase retrieval techniques is generally wrapped into ...
Yufan Chen, Xuejuan Wu, Yang Chen, Wenhui Lin, Haojie Gu, Yuzhen Zhang, Chao Zuo   +6 more
doaj   +2 more sources

Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning [PDF]

Light: Science & Applications
To reveal the fundamental aspects hidden behind a variety of transient events in mechanics, physics, and biology, the highly desired ability to acquire three-dimensional (3D) images with ultrafast temporal resolution has been long sought.
Bowen Wang, Wenwu Chen, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo   +5 more
doaj   +2 more sources

Integrated Design and Implementation of Embedded Control Systems with Scilab [PDF]

Sensors, 2008
Embedded systems are playing an increasingly important role in control engineering. Despite their popularity, embedded systems are generally subject to resource constraints and it is therefore difficult to build complex control systems on embedded ...
Zhe Peng, Feng Xia, Longhua Ma
doaj   +6 more sources

Seeing without touching: weak-disturbance imaging and characterization of ultra-confined optical near fields [PDF]

Light: Science & Applications
A recent study employing high-spatial-resolution photoemission electron microscopy (PEEM) achieved, for the first time, weak-disturbance imaging of the ultra-confined nanoslit mode in a coupled nanowire pair (CNP), revealing its quasi-three-dimensional ...
Bowen Wang, Qian Chen, Chao Zuo
doaj   +2 more sources

Introdução ao Scilab

REMAT, 2015
O minicurso “Introdução ao Scilab” foi ofertado em duas edições, 2011 e 2014, como o objetivo de capacitar os estudantes, em especial os do Curso de Licenciatura em Matemática, na utilização deste software, auxiliando-os nos componentes curriculares do ...
João Cândido Moraes Neves, Greice da Silva Lorenzzetti Andreis, Eduardo Boff Ribeiro   +2 more
doaj   +4 more sources

Scilab to Scilab//: The Ouragan project [PDF]

Parallel Computing, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Caron, Eddy, Chaumette, Serge, Contassot-Vivier, Sylvain, Desprez, Frédéric, Fleury, Eric, Gomez, Claude, Goursat, Maurice, Jeannot, Emmanuel, Lazure, Dominique, Lombard, Frédéric, Nicod, Jean-Marc, Philippe, Laurent, Quinson, Martin, Ramet, Pierre, Roman, Jean, Rubi, Franck, Steer, Serge, Suter, Frédéric, Utard, Gil   +18 more
openaire   +6 more sources

Adaptive optical quantitative phase imaging based on annular illumination Fourier ptychographic microscopy

PhotoniX, 2022
Quantitative phase imaging (QPI) has emerged as a valuable tool for biomedical research thanks to its unique capabilities for quantifying optical thickness variation of living cells and tissues.
Yefeng Shu, Jiasong Sun, Jiaming Lyu, Yao Fan, Ning Zhou, Ran Ye, Guoan Zheng, Qian Chen, Chao Zuo   +8 more
doaj   +1 more source

High Bandwidth-Utilization Digital Holographic Reconstruction Using an Untrained Neural Network

Applied Sciences, 2022
Slightly off-axis digital holographic microscopy (DHM) is the extension of digital holography imaging technology toward high-throughput modern optical imaging technology.
Zhuoshi Li, Yuanyuan Chen, Jiasong Sun, Yanbo Jin, Qian Shen, Peng Gao, Qian Chen, Chao Zuo   +7 more
doaj   +1 more source

How good are MatLab, Octave and Scilab for Computational Modelling? [PDF]

, 2012
In this article we test the accuracy of three platforms used in computational modelling: MatLab, Octave and Scilab, running on i386 architecture and three operating systems (Windows, Ubuntu and Mac OS). We submitted them to numerical tests using standard
de Almeida, Eliana S., Frery, Alejandro C., Medeiros, Antonio C.   +2 more
core   +2 more sources