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Добірка наукової літератури з теми "Linear camera"

Автор: Grafiati

Опубліковано: 24 липня 2022

Оновлено: 8 серпня 2022

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Статті в журналах з теми "Linear camera"

1

Jun Chu, Jun Chu, Li Wang Li Wang, Ruina Feng Ruina Feng, and Guimei Zhang Guimei Zhang. "Linear camera calibration and pose estimation from vanishing points." Chinese Optics Letters 10, s1 (2012): S11007–311011. http://dx.doi.org/10.3788/col201210.s11007.

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2

KINOSITA, Jr., Kazuhiko, Katsuyuki SHIROGUCHI, Tetsuaki OKAMOTO, Kengo ADACHI, Yasuhiro ONOUE, and Hiroyasu ITOH. "Is Your Video Camera Linear?" Seibutsu Butsuri 45, no. 4 (2005): 216–18. http://dx.doi.org/10.2142/biophys.45.216.

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3

Potapov, A. I., V. E. Makhov, Ya G. Smorodinskii, and E. Ya Manevich. "Smart-Camera–Based Linear Sizing." Russian Journal of Nondestructive Testing 55, no. 7 (2019): 524–32. http://dx.doi.org/10.1134/s1061830919070064.

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4

Purnama, Sevia Indah, Irmayatul Hikmah, Mas Aly Afandi, and Elsa Sri Mulyani. "OPTIMASI PEMBACAAN SUHU KAMERA TERMAL MENGGUNAKAN REGRESI LINIER." BAREKENG: Jurnal Ilmu Matematika dan Terapan 15, no. 1 (2021): 127–36. http://dx.doi.org/10.30598/barekengvol15iss1pp127-136.

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Fever is one of the symptoms of a person with Covid-19. Body temperature must be checked e before entering crowded areas such as schools, offices, shops, and hospitals. It is a mandatory protocol that must be done. One of the tools that can be used to check body temperature is a thermal camera. Thermal cameras have the disadvantage of a high temperature reading error. This is because the thermal camera used has a low resolution. This study aims to reduce the value of the temperature reading error on the thermal camera using the linear regression method. The linear regression method is able to

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5

Zwanenberg, Oliver van, Sophie Triantaphillidou, Robin Jenkin, and Alexandra Psarrou. "Camera System Performance Derived from Natural Scenes." Electronic Imaging 2020, no. 9 (2020): 241–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.9.iqsp-241.

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The Modulation Transfer Function (MTF) is a wellestablished measure of camera system performance, commonly employed to characterize optical and image capture systems. It is a measure based on Linear System Theory; thus, its use relies on the assumption that the system is linear and stationary. This is not the case with modern-day camera systems that incorporate non-linear image signal processes (ISP) to improve the output image. Nonlinearities result in variations in camera system performance, which are dependent upon the specific input signals. This paper discusses the development of a novel

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6

Fritz, Gerhard, and Alexander Bergmann. "SAXS instruments with slit collimation: investigation of resolution and flux." Journal of Applied Crystallography 39, no. 1 (2006): 64–71. http://dx.doi.org/10.1107/s002188980503966x.

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Six small-angle X-ray cameras with block collimation systems were simulated, namely the original Kratky camera, a high-flux version of the Kratky camera, a SAXSess (Anton Parr) camera with a focusing mirror in a linear collimation setup and in a pin-hole setup, as well as a similar camera with a parallelizing mirror in a linear and a pin-hole setup. Their performance was examined using Monte Carlo ray-tracing. The Kratky and the SAXSess camera gave resolutions of 64–65 nm, the high-flux Kratky camera gave a resolution of 44 nm, and the camera with parallelizing mirror gave a resolution of 32 n

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7

Moussa, Carol, Louis Hardan, Cynthia Kassis, et al. "Accuracy of Dental Photography: Professional vs. Smartphone’s Camera." BioMed Research International 2021 (December 15, 2021): 1–7. http://dx.doi.org/10.1155/2021/3910291.

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There is a scant literature on the accuracy of dental photographs captured by Digital Single-Lens Reflex (DSLR) and smartphone cameras. The aim was to compare linear measurements of plaster models photographed with DSLR and smartphone’s camera with digital models. Thirty maxillary casts were prepared. Vertical and horizontal reference lines were marked on each tooth, with exception to molars. Then, models were scanned with the TRIOS 3 Basic intraoral dental scanner (control). Six photographs were captured for each model: one using DSLR camera (Canon EOS 700D) and five with smartphone (iPhone X

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8

Antuña-Sánchez, Juan C., Roberto Román, Victoria E. Cachorro, et al. "Relative sky radiance from multi-exposure all-sky camera images." Atmospheric Measurement Techniques 14, no. 3 (2021): 2201–17. http://dx.doi.org/10.5194/amt-14-2201-2021.

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Abstract. All-sky cameras are frequently used to detect cloud cover; however, this work explores the use of these instruments for the more complex purpose of extracting relative sky radiances. An all-sky camera (SONA202-NF model) with three colour filters narrower than usual for this kind of cameras is configured to capture raw images at seven exposure times. A detailed camera characterization of the black level, readout noise, hot pixels and linear response is carried out. A methodology is proposed to obtain a linear high dynamic range (HDR) image and its uncertainty, which represents the rel

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9

Gao Junchai, 高俊钗, 雷志勇 Lei Zhiyong, and 王泽民 Wang Zemin. "Image Correction of Linear Array Camera." Laser & Optoelectronics Progress 47, no. 9 (2010): 091501. http://dx.doi.org/10.3788/lop47.091501.

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10

Long Quan and Zhongdan Lan. "Linear N-point camera pose determination." IEEE Transactions on Pattern Analysis and Machine Intelligence 21, no. 8 (1999): 774–80. http://dx.doi.org/10.1109/34.784291.

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