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Journal articles on the topic 'Streak cameras'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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1

Honour, Joseph. "Ultrafast cameras streak ahead." Physics World 14, no. 9 (September 2001): 21–22. http://dx.doi.org/10.1088/2058-7058/14/9/24.

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2

Jackson, M. C., R. D. Long, D. Lee, and N. J. Freeman. "Development of X-ray streak camera electronics at AWRE." Laser and Particle Beams 4, no. 1 (February 1986): 145–56. http://dx.doi.org/10.1017/s0263034600001695.

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The paper reviews a number of X-ray streak cameras developed at AWRE. These cameras are used to provide temporal and one-dimensional spatial or spectral information on X-rays emitted from laser produced plasmas. Two of these cameras have been designed to be combined with other diagnostic instrumentation; one with a Wolter X-ray microscope (×22 magnification) and the other with a Bragg diffraction crystal spectrometer. This latter instrument provides a few eV spectral resolution and ∼15 ps temporal resolution; a typical experimental application at the AWRE HELEN laser facility will be described. The paper describes the circuitry of the bipolar avalanche transistor ramp generator used to drive the streak plates of the cameras. Improvements to this include: (a) increasing the fastest streak rate to ∼10 ps mm−1 by a distributed capacitance network across each of the bipolar stacks of transistors, and (b) reducing the trigger jitter to approximately ±10 ps by the use of a new mix of transistors in the stack and a Raytheon RS 3500 avalanche transistor. Additional improvements have now been added. These include a ‘half-scan’ user facility to aid initial camera timing and direct switching to select the sweep rate of the camera.
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3

Rieger, K., A. Caldwell, O. Reimann, R. Tarkeshian, and P. Muggli. "GHz modulation detection using a streak camera: Suitability of streak cameras in the AWAKE experiment." Review of Scientific Instruments 88, no. 2 (February 2017): 025110. http://dx.doi.org/10.1063/1.4975380.

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4

Kanzyuba, M. V., and V. B. Lebedev. "Jitter measurement technique for image converter streak cameras." Izmeritel`naya Tekhnika, no. 10 (2020): 33–37. http://dx.doi.org/10.32446/0368-1025it.2020-10-33-37.

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The phenomenon of jitter is considered for image converter streak cameras used in fast process research. Jitter measurement technique is proposed for image converter streak cameras working in linear sweep mode of the pulsed optical signal in study. The experimental setup implementing this measurement technique is described. This setup is used in VNIIOFI for jitter checking of manufactured image converter streak cameras for compliance with specification or customer requirements.
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5

Belzile, C., J. C. Kieffer, C. Y. Cote, T. Oksenhendler, and D. Kaplan. "Jitter-free subpicosecond streak cameras (invited)." Review of Scientific Instruments 73, no. 3 (March 2002): 1617–20. http://dx.doi.org/10.1063/1.1445824.

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6

Kornienko, D. S., A. G. Kravchenko, D. N. Litvin, V. V. Mis’ko, A. N. Rukavishnikov, A. V. Senik, K. V. Starodubtsev, V. M. Tarakanov, and A. E. Chaunin. "Streak cameras for laser fusion experiments." Instruments and Experimental Techniques 57, no. 2 (March 2014): 165–75. http://dx.doi.org/10.1134/s0020441214020109.

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7

Charest, Michael R., Peter Torres, Christopher T. Silbernagel, and Daniel H. Kalantar. "Reliable and repeatable characterization of optical streak cameras." Review of Scientific Instruments 79, no. 10 (October 2008): 10F546. http://dx.doi.org/10.1063/1.2973327.

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8

TSUCHIYA, Yutaka. "Measurements of ultrashort optical pulses by streak cameras." Review of Laser Engineering 15, no. 11 (1987): 896–904. http://dx.doi.org/10.2184/lsj.15.896.

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9

Kanzyuba, M. V., and V. B. Lebedev. "Jitter Measurement Technique for Image-Converter Streak Cameras." Measurement Techniques 63, no. 10 (January 2021): 806–10. http://dx.doi.org/10.1007/s11018-021-01856-x.

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10

Jaanimagi, P. A., L. DaSilva, G. G. Gregory, C. Hestdalen, C. D. Kiikka, R. Kotmel, and M. C. Richardson. "Optical fiducials for x‐ray streak cameras at LLE." Review of Scientific Instruments 57, no. 8 (August 1986): 2189–91. http://dx.doi.org/10.1063/1.1138727.

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11

Huang, T. X., M. Nakai, H. Shiraga, H. Azechi, T. X. Huang, Y. K. Ding, and Z. J. Zheng. "Ultrafast x-ray imaging with sliced sampling streak cameras." Review of Scientific Instruments 77, no. 2 (February 2006): 026105. http://dx.doi.org/10.1063/1.2173069.

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12

Cester, Lucrezia, Ashley Lyons, Maria Chiara Braidotti, and Daniele Faccio. "Time-of-Flight Imaging at 10 ps Resolution with an ICCD Camera." Sensors 19, no. 1 (January 6, 2019): 180. http://dx.doi.org/10.3390/s19010180.

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ICCD cameras can record low light events with extreme temporal resolution. Thus, they are used in a variety of bio-medical applications for single photon time of flight measurements and LIDAR measurements. In this paper, we present a method which allows improvement of the temporal resolution of ICCD cameras down to 10 ps (from the native 200 ps of our model), thus placing ICCD cameras at a better temporal resolution than SPAD cameras and in direct competition with streak cameras. The higher temporal resolution can serve for better tracking and visualization of the information carried in time-of-flight measurements.
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13

Ageeva, N. N., I. L. Bronevoi, D. N. Zabegaev, A. N. Krivonosov, N. S. Vorob’ev, P. B. Gornostaev, V. I. Lozovoi, and M. Ya Schelev. "Errors of measuring picosecond light pulses by picosecond streak cameras." Instruments and Experimental Techniques 54, no. 4 (July 2011): 548–54. http://dx.doi.org/10.1134/s0020441211040014.

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14

Tsuchiya, Yutaka, and Mitsuharu Miwa. "Experimental investigation of the dynamic range of ultrafast streak cameras." Journal of the Institute of Television Engineers of Japan 42, no. 8 (1988): 837–45. http://dx.doi.org/10.3169/itej1978.42.837.

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15

Badali, Daniel S., and R. J. Dwayne Miller. "Robust reconstruction of time-resolved diffraction from ultrafast streak cameras." Structural Dynamics 4, no. 5 (September 2017): 054302. http://dx.doi.org/10.1063/1.4985059.

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16

Rieger, K., A. Caldwell, O. Reimann, R. Tarkeshian, and P. Muggli. "Publisher’s Note: “GHz modulation detection using a streak camera: Suitability of streak cameras in the AWAKE experiment” [Rev. Sci. Instrum. 88, 025110 (2017)]." Review of Scientific Instruments 89, no. 2 (February 2018): 029901. http://dx.doi.org/10.1063/1.5023929.

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17

Thomas, S. W., R. L. Griffith, and W. R. McDonald. "Improvements In Avalanche-Transistor Sweep Circuitry For Electro-Optic Streak Cameras." Optical Engineering 25, no. 3 (March 1, 1986): 253465. http://dx.doi.org/10.1117/12.7973844.

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18

Wang, Chuanke, Jin Li, Xin Hu, Zhimin Hu, Xiaoli Zhu, Bo Deng, Tao Yi, et al. "Realization of a flat-response photocathode for x-ray streak cameras." Optics Express 23, no. 15 (July 22, 2015): 19793. http://dx.doi.org/10.1364/oe.23.019793.

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19

Rai, V. N., M. Shukla, H. C. Pant, and D. D. Bhawalkar. "Development of picosecond time resolution optical and X-ray streak cameras." Sadhana 20, no. 6 (December 1995): 937–54. http://dx.doi.org/10.1007/bf02745874.

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20

Kimbrough, J. R., P. M. Bell, D. K. Bradley, J. P. Holder, D. K. Kalantar, A. G. MacPhee, and S. Telford. "Standard design for National Ignition Facility x-ray streak and framing cameras." Review of Scientific Instruments 81, no. 10 (October 2010): 10E530. http://dx.doi.org/10.1063/1.3496990.

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21

Glendinning, S. G., and H. Medecki. "Resolution characteristics of Lawrence Livermore National Laboratory soft x‐ray streak cameras." Review of Scientific Instruments 57, no. 8 (August 1986): 2184–86. http://dx.doi.org/10.1063/1.1138725.

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22

Opachich, Y. P., P. M. Bell, D. K. Bradley, N. Chen, J. Feng, A. Gopal, B. Hatch, et al. "Structured photocathodes for improved high-energy x-ray efficiency in streak cameras." Review of Scientific Instruments 87, no. 11 (August 22, 2016): 11E331. http://dx.doi.org/10.1063/1.4961302.

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23

Shen, Guoguang, W. M. Dennis, and W. Blau. "A versatile optical multichannel analyser system for use with picosecond streak cameras." Journal of Physics E: Scientific Instruments 21, no. 7 (July 1988): 701–4. http://dx.doi.org/10.1088/0022-3735/21/7/017.

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24

Shukla, M., V. N. Rai, and H. C. Pant. "A simple and compact high-voltage switch mode power supply for streak cameras." Measurement Science and Technology 7, no. 11 (November 1, 1996): 1668–72. http://dx.doi.org/10.1088/0957-0233/7/11/017.

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25

Patankar, S., E. T. Gumbrell, T. S. Robinson, E. Floyd, N. H. Stuart, A. S. Moore, J. W. Skidmore, and R. A. Smith. "Absolute calibration of optical streak cameras on picosecond time scales using supercontinuum generation." Applied Optics 56, no. 24 (August 17, 2017): 6982. http://dx.doi.org/10.1364/ao.56.006982.

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26

Braatz, U., J. Kunsch, E. Krause, and E. Jäger. "Sweep drive circuit for streak cameras based on ZnS and ZnSe optoelectronic switches." Physica Status Solidi (a) 116, no. 2 (December 16, 1989): K219—K221. http://dx.doi.org/10.1002/pssa.2211160264.

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27

Li, Xiang, Li Gu, Fangke Zong, Jingjin Zhang, and Qinlao Yang. "Temporal resolution limit estimation of x-ray streak cameras using a CsI photocathode." Journal of Applied Physics 118, no. 8 (August 28, 2015): 083105. http://dx.doi.org/10.1063/1.4928675.

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28

Cunin, B., F. Heisel, and J. A. Miehé. "Towards jitter-free synchronization of synchroscan streak cameras by noisy periodic laser pulses." Optics Communications 82, no. 5-6 (May 1991): 491–96. http://dx.doi.org/10.1016/0030-4018(91)90367-m.

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29

Gu Li, 顾礼, 宗方轲 Zong Fangke, 李翔 Li Xiang, 张敬金 Zhang Jingjin, 张驰 Zhang Chi, and 杨勤劳 Yang Qinlao. "Influence of photoelectron energy and angular distribution and space charge effect on streak cameras." High Power Laser and Particle Beams 27, no. 6 (2015): 62011. http://dx.doi.org/10.3788/hplpb20152706.62011.

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30

Pan Jing-Sheng, Qi Lu, Xiao Hong-Liang, Zhang Rong, Zhou Jian-Xun, Pu Dong-Dong, and L Jing-Wen. "Influence analysis of saturation effect of microchannel plate on dynamic range of streak cameras." Acta Physica Sinica 61, no. 19 (2012): 194211. http://dx.doi.org/10.7498/aps.61.194211.

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31

Lazarchuk, V. P., A. N. Muntyan, V. M. Murugov, S. I. Petrov, and A. V. Senik. "Calibration Procedures for X-ray Streak Cameras and Elements of X-ray Measuring Circuits." Instruments and Experimental Techniques 47, no. 2 (March 2004): 255–59. http://dx.doi.org/10.1023/b:inet.0000025213.79773.7a.

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32

GUS'KOV, S. Yu, Yu S. KAS'ANOV, M. O. KOSHEVOI, V. B. ROZANOV, A. A. RUPASOV, and A. S. SHIKANOV. "Scattering and transmission of laser radiation at the heating of low-density foam targets." Laser and Particle Beams 17, no. 2 (April 1999): 287–91. http://dx.doi.org/10.1017/s0263034699172148.

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Experimental study of the radiation scattered at the laser heating of low-density foam targets and transmitted through the targets is presented. The scattered and transmitted radiations were investigated using spectrometers and streak cameras providing spatial, angular, spectral and temporal resolutions that enabled us to study the dynamics of the process of burning-through of the thick foam targets, the velocities of the plasma critical density motion as well as mass velocity of the plasma.
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33

Tang, Wei Dong, Wen Zheng Yang, Zhi Peng Cai, and Chuan Dong Sun. "The Time Response of Exponential Doping NEA InGaAs Photocathode Applied to near Infrared Streak Cameras." Advanced Materials Research 415-417 (December 2011): 1403–6. http://dx.doi.org/10.4028/www.scientific.net/amr.415-417.1403.

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An exponential doping NEA InGaAs photocathode is theoretically proposed to apply in the near infrared streak camera. The photocathode time response is calculated and analyzed by using a photoelectron non-steady method. The numerical results show that the excited electrons in the InGaAs active layer is accelerated due to the built-in electric field induced by the exponential doping structure, which shortens the transport time of minority carriers in the photocathode and thus, the time response is greatly improved. In addition, the exponential doping InGaAs photocathode possesses time response of less than 10 picoseconds and near-infrared quantum efficiency of 10%.
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34

Offenberger, A. A., R. Fedosejevs, P. D. Gupta, R. Popil, and Y. Y. Tsui. "Experimental results for high intensity KrF laser/plasma interaction." Laser and Particle Beams 4, no. 3-4 (August 1986): 329–48. http://dx.doi.org/10.1017/s0263034600002044.

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A high power KrF laser system employing beam multiplexing and stimulated Raman or Brillouin scattering to produce pulses as short as 1 ns and focused intensities on target of 1011 to 1014 W/cm2 has been developed for laser/plasma interaction research. A variety of investigations have been pursued on single and multilayer targets with variable atomic numbers. Absorption, transport, X-ray conversion, ion expansion characteristics, mass ablation and ablation pressure scaling, and stimulated scattering instabilities are among features that have been studied as a function of laser intensity. A wide variety of laser and target diagnostics are employed including focal plane imaging cameras for energy distribution and UV and soft X-ray streak cameras for temporally resolving the incident laser pulse and X-ray emission. Experimental results will be presented and our current understanding of the KrF laser/plasma interaction will be discussed.
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35

Koch, J. A., and B. J. MacGowan. "Aluminum‐coated optical fibers as efficient infrared timing fiducial photocathodes for synchronizing x‐ray streak cameras." Journal of Applied Physics 69, no. 10 (May 15, 1991): 6935–44. http://dx.doi.org/10.1063/1.347631.

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36

Shiraga, H., N. Miyanaga, M. Heya, M. Nakasuji, Y. Aoki, H. Azechi, T. Yamanaka, and K. Mima. "Ultrafast two-dimensional x-ray imaging with x-ray streak cameras for laser fusion research (invited)." Review of Scientific Instruments 68, no. 1 (January 1997): 745–49. http://dx.doi.org/10.1063/1.1147690.

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37

MacPhee, A. G., A. K. L. Dymoke-Bradshaw, J. D. Hares, J. Hassett, B. W. Hatch, A. L. Meadowcroft, P. M. Bell, et al. "Improving the off-axis spatial resolution and dynamic range of the NIF X-ray streak cameras (invited)." Review of Scientific Instruments 87, no. 11 (August 8, 2016): 11E202. http://dx.doi.org/10.1063/1.4960376.

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38

Borowiecki, M., B. Bieńkowska, S. Jednoróg, L. Karpiński, M. Paduch, M. Scholz, and M. J. Sadowski. "Investigation of pinch dynamics in plasma-focus discharges by means of fast-streak-and fast-frame-cameras." Czechoslovak Journal of Physics 56, S2 (October 2006): B184—B191. http://dx.doi.org/10.1007/s10582-006-0197-0.

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39

Shiraga, H., M. Heya, M. Nakasuji, N. Miyanaga, H. Azechi, H. Takabe, T. Yamanaka, and K. Mima. "One- and two-dimensional fast x-ray imaging of laser-driven implosion dynamics with x-ray streak cameras." Review of Scientific Instruments 68, no. 1 (January 1997): 828–30. http://dx.doi.org/10.1063/1.1147700.

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40

Opachich, Y. P., P. M. Bell, D. K. Bradley, N. Chen, J. Feng, A. Gopal, B. Hatch, et al. "Publisher’s Note: “Structured photocathodes for improved high-energy x-ray efficiency in streak cameras” [Rev. Sci. Instrum. 87, 11E331 (2016)]." Review of Scientific Instruments 87, no. 11 (September 16, 2016): 11F904. http://dx.doi.org/10.1063/1.4962988.

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41

Wingert, James, Andrej Singer, and Oleg G. Shpyrko. "A new method for studying sub-pulse dynamics at synchrotron sources." Journal of Synchrotron Radiation 22, no. 5 (August 7, 2015): 1141–46. http://dx.doi.org/10.1107/s1600577515013806.

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The possibility of studying dynamics at time scales on the order of the pulse duration at synchrotron X-ray sources with present avalanche photodiode point detection technology is investigated, without adopting pump–probe techniques. It is found that sample dynamics can be characterized by counting single and double photon events and an analytical approach is developed to estimate the time required for a statistically significant measurement to be made. The amount of scattering required to make such a measurement possible presently within a few days is indicated and it is shown that at next-generation synchrotron sources this time will be reduced dramatically,i.e.by more than three orders of magnitude. The analytical results are confirmed with simulations in the frame of Gaussian statistics. In the future, this approach could be extended to even shorter time scales with the implementation of ultrafast streak cameras.
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42

Balmer, J. E., W. Lampert, E. Roschger, J. D. Hares, and J. D. Kilkenny. "Synchronous time‐resolved optical and x‐ray emission from simultaneous optical and x‐ray streak cameras driven by a master ramp generator." Review of Scientific Instruments 56, no. 5 (May 1985): 860–61. http://dx.doi.org/10.1063/1.1138073.

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43

Nikodem, Maciej, Mariusz Słabicki, Tomasz Surmacz, Paweł Mrówka, and Cezary Dołęga. "Multi-Camera Vehicle Tracking Using Edge Computing and Low-Power Communication." Sensors 20, no. 11 (June 11, 2020): 3334. http://dx.doi.org/10.3390/s20113334.

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Typical approaches to visual vehicle tracking across large area require several cameras and complex algorithms to detect, identify and track the vehicle route. Due to memory requirements, computational complexity and hardware constrains, the video images are transmitted to a dedicated workstation equipped with powerful graphic processing units. However, this requires large volumes of data to be transmitted and may raise privacy issues. This paper presents a dedicated deep learning detection and tracking algorithms that can be run directly on the camera’s embedded system. This method significantly reduces the stream of data from the cameras, reduces the required communication bandwidth and expands the range of communication technologies to use. Consequently, it allows to use short-range radio communication to transmit vehicle-related information directly between the cameras, and implement the multi-camera tracking directly in the cameras. The proposed solution includes detection and tracking algorithms, and a dedicated low-power short-range communication for multi-target multi-camera tracking systems that can be applied in parking and intersection scenarios. System components were evaluated in various scenarios including different environmental and weather conditions.
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44

Tang, Shengjun, Weixi Wang, Xiaoming Li, and Zhilu Yuan. "Stereo RGB-D indoor mapping with precise stream fusing strategy." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-362-2019.

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<p><strong>Abstract.</strong> In order to achieve more robust pose tracking and mapping of visual SLAM, the robotics researcher has recently shown a growing interest in utilising multiple camera, which is able to provide more sufficient observations to fulfil the frame registration and map updating tasks. This implies that better pose tracking robustness can be achieved by extending monocular visual SLAM to utilise measurements from multiple cameras.[1] proposed a visual SLAM method using multiple RGB-D cameras, which integrate the observations from multi-camera for camera tracking. However, they ignored the time-drift between the frames obtained by different cameras, which may result at inaccurate positions of observation used for map updating. Besides, loop closure detection was not been implemented. [2] constructed a multiple RGB-D system with three Kinects V2 camera. This work mainly concentrated on the intrinsic and extrinsic calibration and verify the effectiveness of mapping using multiply RGB-D cameras.</p>
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45

Shiraga, Hiroyuki. "OS5-4 High-speed 2D X-ray Imaging by Image Sampling Technique Applied to Streak Cameras for Laser Fusion Research(Plasma and X-ray imaging,OS5 High-speed imaging and photonics,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 65. http://dx.doi.org/10.1299/jsmeatem.2015.14.65.

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46

Kaneko, Itaru, Yutaka Yoshida, Emi Yuda, and Junichiro Hayano. "Sensing of Microvascular Vasomotion Using Consumer Camera." Sensors 21, no. 18 (September 18, 2021): 6256. http://dx.doi.org/10.3390/s21186256.

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In this paper, we will introduce a method for observing microvascular waves (MVW) by extracting different images from the available images in the video taken with consumer cameras. Microvascular vasomotion is a dynamic phenomenon that can fluctuate over time for a variety of reasons and its sensing is used for variety of purposes. The special device, a side stream dark field camera (SDF camera) was developed in 2015 for the medical purpose to observe blood flow from above the epidermis. However, without using SDF cameras, smart signal processing can be combined with a consumer camera to analyze the global motion of microvascular vasomotion. MVW is a propagation pattern of microvascular vasomotions which reflects biological properties of vascular network. In addition, even without SDF cameras, MVW can be analyzed as a spatial and temporal pattern of microvascular vasomotion using a combination of advanced signal processing with consumer cameras. In this paper, we will demonstrate that such vascular movements and MVW can be observed using a consumer cameras. We also show a classification using it.
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47

Gorgisyan, I., R. Ischebeck, E. Prat, S. Reiche, L. Rivkin, and P. Juranić. "Simulation of FEL pulse length calculation with THz streaking method." Journal of Synchrotron Radiation 23, no. 3 (April 2, 2016): 643–51. http://dx.doi.org/10.1107/s160057751600285x.

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Having accurate and comprehensive photon diagnostics for the X-ray pulses delivered by free-electron laser (FEL) facilities is of utmost importance. Along with various parameters of the photon beam (such as photon energy, beam intensity,etc.), the pulse length measurements are particularly useful both for the machine operators to measure the beam parameters and monitor the stability of the machine performance, and for the users carrying out pump–probe experiments at such facilities to better understand their measurement results. One of the most promising pulse length measurement techniques used for photon diagnostics is the THz streak camera which is capable of simultaneously measuring the lengths of the photon pulses and their arrival times with respect to the pump laser. This work presents simulations of a THz streak camera performance. The simulation procedure utilizes FEL pulses with two different photon energies in hard and soft X-ray regions, respectively. It recreates the energy spectra of the photoelectrons produced by the photon pulses and streaks them by a single-cycle THz pulse. Following the pulse-retrieval procedure of the THz streak camera, the lengths were calculated from the streaked spectra. To validate the pulse length calculation procedure, the precision and the accuracy of the method were estimated for streaking configuration corresponding to previously performed experiments. The obtained results show that for the discussed setup the method is capable of measuring FEL pulses with about a femtosecond accuracy and precision.
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48

Quinn, Thomas P., Aaron J. Wirsing, Brendan Smith, Curry J. Cunningham, and Jason Ching. "Complementary use of motion-activated cameras and unbaited wire snares for DNA sampling reveals diel and seasonal activity patterns of brown bears (Ursus arctos) foraging on adult sockeye salmon (Oncorhynchus nerka)." Canadian Journal of Zoology 92, no. 10 (October 2014): 893–903. http://dx.doi.org/10.1139/cjz-2014-0114.

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The seasonal and diel movements of predators to take advantage of shifts in prey availability are fundamental elements of their foraging ecology, and also have consequences for the prey populations. In this study, we used complementary noninvasive techniques (motion-activated cameras and hair snares) to investigate seasonal and diel activity of brown bears (Ursus arctos L., 1758) along six proximate streams supporting spawning populations of sockeye salmon (Oncorhynchus nerka (Walbaum in Artedi, 1792)) in southwestern Alaska. Camera records over 3 years showed a rapid increase in bear activity around the time salmon arrived in the streams, with differences among streams corresponding to differences in salmon phenology. Bears were active throughout the day and night, but there were clear crepuscular peaks when camera data were pooled. When wire snares (to collect hair samples) were paired with cameras, the data showed similar seasonal patterns, but each technique detected bears missed by the other. Roughly equal numbers of bears left hair but no camera image, and images but no hair, at paired sites. Taken together, the results indicated a close correspondence between bear activity and salmon timing, differences in diel timing among streams, and the complementarity of data obtained by motion-activated cameras and hair snares.
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49

Chang, Wen-Chung. "Automated quality inspection of camera zooming with real-time vision." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 12 (January 17, 2017): 2236–41. http://dx.doi.org/10.1177/0954405416683973.

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Industrial automated production technologies have been the research focus of many recent studies, comprising the two research streams of automated assembly and automated product testing. Camera lens-shake detection is an effective way to measure the quality of video cameras during zooming. Conventional testing methods involve time-consuming manual operation procedures. This study proposes a novel automated camera lens-shake detection method, in which real-time visual tracking of two arbitrary features is used to measure and analyze camera zooming quality. The camera lens-shake detection approach can be used to screen out video cameras for the purpose of quality control. It can be effectively employed to replace conventional testing methods and enhance efficiency and stability of product manufacturing.
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50

Lankhuijzen, G. M., and L. D. Noordam. "Atomic streak camera." Optics Communications 129, no. 5-6 (September 1996): 361–68. http://dx.doi.org/10.1016/s0030-4018(96)00166-6.

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