scholarly journals Coherent Anti-Stokes Raman Holography for Chemically Selective Single-Shot Nonscanning 3D Imaging

2010 ◽  
Vol 104 (9) ◽  
Author(s):  
Kebin Shi ◽  
Haifeng Li ◽  
Qian Xu ◽  
Demetri Psaltis ◽  
Zhiwen Liu
Keyword(s):  
3D Imaging ◽  
Single Shot ◽  
Anti Stokes ◽  
Chemically Selective

Combined Vibrational and Rotational CARS for Simultaneous Measurements of Temperature and Concentrations of Fuel, Oxygen, and Nitrogen

1995 ◽  
Vol 49 (2) ◽  
pp. 188-192 ◽  
Author(s):  
Per-Erik Bengtsson ◽  
Lars Martinsson ◽  
Marcus Aldén
Keyword(s):  
Broad Band ◽  
Systematic Errors ◽  
Array Detector ◽  
Phase Matching ◽  
Diode Array ◽  
Single Shot ◽  
Diode Array Detector ◽  
Simultaneous Measurements ◽  
Air Diffusion ◽  
Anti Stokes

Simultaneous measurements of temperature and relative concentrations of fuel, oxygen, and nitrogen using combined vibrational coherent anti-Stokes Raman Spectroscopy (CARS) and dual-broad-band rotational CARS have been demonstrated with the use of a Nd:YAG laser and a single dye laser. With the use of a double-folded BOXCARS phase-matching scheme, both the vibrational and the rotational CARS signals were generated in such a way that the signals were superimposed at the spectrograph. With an additional mirror arrangement inside the spectrograph, both signals were recorded simultaneously on a single diode-array detector. The accuracy of single-shot fuel concentration measurements has been investigated, and measurements in a methane/air diffusion flame have been demonstrated. The influence of systematic errors on measured concentrations is discussed.

Broadband D_2 coherent anti-Stokes Raman spectroscopy for single-shot pressure and temperature determination with a Fabry–Perot etalon

1999 ◽  
Vol 38 (3) ◽  
pp. 534 ◽  
Author(s):  
Walter D. Gillespie ◽  
Jae Won Hahn ◽  
Walter J. Bowers ◽  
Wilbur S. Hurst ◽  
Gregory J. Rosasco
Keyword(s):  
Raman Spectroscopy ◽  
Single Shot ◽  
Temperature Determination ◽  
Fabry Perot ◽  
Anti Stokes

Supersonic flow diagnostics by single-shot time-domain coherent anti-Stokes Raman scattering

2000 ◽  
Vol 31 (8-9) ◽  
pp. 689-696 ◽  
Author(s):  
I. Ribet ◽  
B. Scherrer ◽  
P. Bouchardy ◽  
Th. Pot ◽  
J.-P. Taran ◽  
...  
Keyword(s):  
Supersonic Flow ◽  
Raman Scattering ◽  
Time Domain ◽  
Single Shot ◽  
Flow Diagnostics ◽  
Anti Stokes

scholarly journals Single-Shot 3D Shape Reconstruction Using Structured Light and Deep Convolutional Neural Networks

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3718 ◽  
Author(s):  
Hieu Nguyen ◽  
Yuzeng Wang ◽  
Zhaoyang Wang
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
3D Imaging ◽  
Structured Light ◽  
Depth Map ◽  
Shape Reconstruction ◽  
Single Shot ◽  
Deep Convolutional Neural Networks ◽  
3D Shape ◽  
3D Shape Reconstruction

Single-shot 3D imaging and shape reconstruction has seen a surge of interest due to the ever-increasing evolution in sensing technologies. In this paper, a robust single-shot 3D shape reconstruction technique integrating the structured light technique with the deep convolutional neural networks (CNNs) is proposed. The input of the technique is a single fringe-pattern image, and the output is the corresponding depth map for 3D shape reconstruction. The essential training and validation datasets with high-quality 3D ground-truth labels are prepared by using a multi-frequency fringe projection profilometry technique. Unlike the conventional 3D shape reconstruction methods which involve complex algorithms and intensive computation to determine phase distributions or pixel disparities as well as depth map, the proposed approach uses an end-to-end network architecture to directly carry out the transformation of a 2D image to its corresponding 3D depth map without extra processing. In the approach, three CNN-based models are adopted for comparison. Furthermore, an accurate structured-light-based 3D imaging dataset used in this paper is made publicly available. Experiments have been conducted to demonstrate the validity and robustness of the proposed technique. It is capable of satisfying various 3D shape reconstruction demands in scientific research and engineering applications.

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