A visible light imaging device for cardiac rate detection with reduced effect of body movement

2014 ◽  
Author(s):  
Xiaotian Jiang ◽  
Ming Liu ◽  
Yuejin Zhao
Keyword(s):  
Visible Light ◽  
Body Movement ◽  
Cardiac Rate ◽  
Imaging Device ◽  
Visible Light Imaging

scholarly journals Non-contact detection of oxygen saturation based on visible light imaging device using ambient light

2013 ◽  
Vol 21 (15) ◽  
pp. 17464 ◽  
Author(s):  
Lingqin Kong ◽  
Yuejin Zhao ◽  
Liquan Dong ◽  
Yiyun Jian ◽  
Xiaoli Jin ◽  
...  
Keyword(s):  
Visible Light ◽  
Oxygen Saturation ◽  
Contact Detection ◽  
Ambient Light ◽  
Imaging Device ◽  
Visible Light Imaging

Spatio-temporal measurement of beam properties in the PLS diagnostic beamline

1998 ◽  
Vol 5 (3) ◽  
pp. 642-644 ◽  
Author(s):  
J. Y. Huang ◽  
I. S. Ko
Keyword(s):  
Visible Light ◽  
Imaging System ◽  
Ccd Camera ◽  
Photon Beam ◽  
Transverse Beam ◽  
Beam Position ◽  
X Ray ◽  
X Ray Imaging ◽  
Visible Light Imaging ◽  
Temporal Measurement

A diagnostic beamline is being constructed in the PLS storage ring for measurement of electron- and photon-beam properties. It consists of two 1:1 imaging systems: a visible-light imaging system and a soft X-ray imaging system. In the visible-light imaging system, the transverse beam size and beam position are measured with various detectors: a CCD camera, two photodiode arrays and a photon-beam position monitor. Longitudinal bunch structure is also investigated with a fast photodiode detector and a picosecond streak camera. On the other hand, the soft X-ray imaging system is under construction to measure beam sizes with negligible diffraction-limited error. The X-ray image optics consist of a flat cooled mirror and two spherical focusing mirrors.

Identification of Pigments in Paint Cross Sections by Reflection Visible Light Imaging Microspectroscopy

2003 ◽  
Vol 75 (4) ◽  
pp. 716-722 ◽  
Author(s):  
Jaap van der Weerd ◽  
Marieke K. van Veen ◽  
Ron M. A. Heeren ◽  
Jaap J. Boon
Keyword(s):  
Visible Light ◽  
Cross Sections ◽  
Visible Light Imaging

Three Dimensional X-Ray Computed Tomography in Materials Science

MRS Bulletin ◽  
1988 ◽  
Vol 13 (1) ◽  
pp. 13-18 ◽  
Author(s):  
J.H. Kinney ◽  
Q.C. Johnson ◽  
U. Bonse ◽  
M.C. Nichols ◽  
R.A. Saroyan ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
High Resolution ◽  
Sample Preparation ◽  
Visible Light ◽  
Three Dimensional ◽  
Materials Characterization ◽  
Imaging Technology ◽  
X Ray ◽  
X Ray Imaging ◽  
Visible Light Imaging

Imaging is the cornerstone of materials characterization. Until the middle of the present century, visible light imaging provided much of the information about materials. Though visible light imaging still plays an extremely important role in characterization, relatively low spatial resolution and lack of chemical sensitivity and specificity limit its usefulness.The discovery of x-rays and electrons led to a major advance in imaging technology. X-ray diffraction and electron microscopy allowed us to characterize the atomic structure of materials. Many materials vital to our high technology economy and defense owe their existence to the understanding of materials structure brought about with these high-resolution methods.Electron microscopy is an essential tool for materials characterization. Unfortunately, electron imaging is always destructive due to the sample preparation that must be done prior to imaging. Furthermore, electron microscopy only provides information about the surface of a sample. Three dimensional information, of great interest in characterizing many new materials, can be obtained only by time consuming sectioning of an object.The development of intense synchrotron light sources in addition to the improvements in solid state imaging technology is revolutionizing materials characterization. High resolution x-ray imaging is a potentially valuable tool for materials characterization. The large depth of x-ray penetration, as well as the sensitivity of absorption crosssections to atomic chemistry, allows x-ray imaging to characterize the chemistry of internal structures in macroscopic objects with little sample preparation. X-ray imaging complements other imaging modalities, such as electron microscopy, in that it can be performed nondestructively on metals and insulators alike.

Infrared laser induced hard damage to visible light imaging system

2010 ◽  
Vol 22 (9) ◽  
pp. 2023-2026 ◽  
Author(s):  
马金龙 Ma Jinlong ◽  
刘长安 Liu Chang’an ◽  
裘伟 Qiu Wei ◽  
常星璋 Chang Xingzhang ◽  
毛静锋 Mao Jingfeng ◽  
...  
Keyword(s):  
Visible Light ◽  
Imaging System ◽  
Infrared Laser ◽  
Visible Light Imaging

scholarly journals Seeing Pedestrian in the Dark via Multi-Task Feature Fusing-Sharing Learning for Imaging Sensors

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5852
Author(s):  
Yuanzhi Wang ◽  
Tao Lu ◽  
Tao Zhang ◽  
Yuntao Wu
Keyword(s):  
Visible Light ◽  
Pedestrian Detection ◽  
Detection Algorithm ◽  
Learning Method ◽  
Low Light ◽  
Learning Module ◽  
Task Learning ◽  
Image Relighting ◽  
Visible Light Imaging ◽  
Imaging Sensors

Pedestrian detection is an essential problem of computer vision, which has achieved tremendous success under controllable conditions using visible light imaging sensors in recent years. However, most of them do not consider low-light environments which are very common in real-world applications. In this paper, we propose a novel pedestrian detection algorithm using multi-task learning to address this challenge in low-light environments. Specifically, the proposed multi-task learning method is different from the most commonly used multi-task learning method—the parameter sharing mechanism—in deep learning. We design a novel multi-task learning method with feature-level fusion and a sharing mechanism. The proposed approach contains three parts: an image relighting subnetwork, a pedestrian detection subnetwork, and a feature-level multi-task fusion learning module. The image relighting subnetwork adjusts the low-light image quality for detection, the pedestrian detection subnetwork learns enhanced features for prediction, and the feature-level multi-task fusion learning module fuses and shares features among component networks for boosting image relighting and detection performance simultaneously. Experimental results show that the proposed approach consistently and significantly improves the performance of pedestrian detection on low-light images obtained by visible light imaging sensor.

In Operando Visualization of SOFC Electrodes by Thermography and Visible Light Imaging

2015 ◽  
Vol 4 (11) ◽  
pp. F61-F64 ◽  
Author(s):  
Y. Tachikawa ◽  
J. Sugimoto ◽  
M. Takada ◽  
T. Kawabata ◽  
S. M. Lyth ◽  
...  
Keyword(s):  
Visible Light ◽  
In Operando ◽  
Visible Light Imaging

640x512 pixel InGaAs FPAs for short-wave infrared and visible light imaging

2017 ◽  
Author(s):  
Xiu-Mei Shao ◽  
Bo Yang ◽  
Songlei Huang ◽  
Yang Wei ◽  
Xue Li ◽  
...  
Keyword(s):  
Visible Light ◽  
Short Wave ◽  
Short Wave Infrared ◽  
Visible Light Imaging
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