Relevant bibliographies by topics / Luminance camera

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Luminance camera'

Author: Grafiati
Published: 28 June 2021
Last updated: 21 June 2025

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Journal articles on the topic "Luminance camera"

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Vaaja, M. T., M. Maksimainen, M. Kurkela, J. P. Virtanen, T. Rantanen, and H. Hyyppä. "APPROACHES FOR MAPPING NIGHT-TIME ROAD ENVIRONMENT LIGHTING CONDITIONS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2020 (August 3, 2020): 199–205. http://dx.doi.org/10.5194/isprs-annals-v-1-2020-199-2020.

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Abstract. The integration of the 3D measurement techniques with luminance imaging has increased the potential for mapping night-time road lighting conditions. In this study, we present selected static and mobile approaches for the purpose. The measurement methods include conventional 2D imaging luminance photometry and the integration of the luminance imaging with terrestrial and mobile laser scanning. In addition, we present our initial experiences with performing integrated luminance mapping and photogrammetric reconstruction from drone imagery. All of the presented methods require that the camera is calibrated with a reference luminance source. Our results show the results of luminance calibration and feasibility of 3D luminance point clouds for evaluating road surface luminances. In addition, we discuss the other potential applications, limitations and future research.
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Kim, Michael, and Athanasios Tzempelikos. "Non-Intrusive Luminance Mapping via High Dynamic Range Imaging and 3-D Reconstruction." Journal of Physics: Conference Series 2042, no. 1 (2021): 012113. http://dx.doi.org/10.1088/1742-6596/2042/1/012113.

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Abstract Continuous luminance monitoring is challenging because high-dynamic-range cameras are expensive, they need programming, and are intrusive when placed near the occupants’ field-of-view. A new semi-automated and non-intrusive framework is presented for monitoring occupant-perceived luminance using a low-cost camera sensor and Structure-from- Motion (SfM)-Multiview Stereo (MVS) photogrammetry pipeline. Using a short video and a few photos from the occupant position, the 3D space geometry is automatically reconstructed. Retrieved 3D context enables the back-projection of the camera-captured luminance distribution into 3D spaces that are in turn re-projected to occupant-FOVs. The framework was tested and validated in a testbed office. The re-projected luminance field showed with good agreement with luminance measured at the occupant position. The new method can be used for non-intrusive luminance monitoring integrated with daylighting control applications.
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Czyżewski, Dariusz, and Irena Fryc. "Luminance Calibration and Linearity Correction Method of Imaging Luminance Measurement Devices." Photonics Letters of Poland 13, no. 2 (2021): 25. http://dx.doi.org/10.4302/plp.v13i2.1094.

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This paper presents that the opto-electrical characteristic of a typical CCD based digital camera is nonlinear. It means that digital electric signal of the camera's CCD detector - is not a linear function of the luminance value on camera's lens. The opto-electrical characteristic feature of a digital camera needs to be transformed into a linear function if this camera is to be used as a luminance distribution measurement device known as Imaging Luminance Measurement Device (ILMD). The article presents the methodology for obtaining the opto-electrical characteristic feature of a typical CCD digital camera and focuses on the non- linearity correction method. Full Text: PDF ReferencesD. Wüller and H. Gabele, "The usage of digital cameras as luminance meters," in Digital Photography III, 2007, p. 65020U CrossRef P. Fiorentin and A. Scroccaro, "Detector-Based Calibration for Illuminance and Luminance Meters-Experimental Results," IEEE Transactions on Instrumentation and Measurement, vol. 59, no. 5, pp. 1375-1381, 2010 CrossRef M. Shpak, P. Kärhä, G. Porrovecchio, M. Smid, and E. Ikonen, "Luminance meter for photopic and scotopic measurements in the mesopic range," Meas. Sci. Technol, vol. 25, no. 9, p. 95001, 2014, CrossRef P. Fiorentin, P. Iacomussi, and G. Rossi, "Characterization and calibration of a CCD detector for light engineering," IEEE Transactions on Instrumentation and Measurement, vol. 54, no. 1, pp. 171-177, 2005, CrossRef I. Fryc and E. Czech, "Application of optical fibers and CCD array for measurement of luminance distribution," in Proc. SPIE 5064, Lightmetry 2002: Metrology and Testing Techniques Using Light, 2003, pp. 18-21, CrossRef I. Fryc, "Accuracy of spectral correction of a CCD array for luminance distribution measurement," in Proc. SPIE 5064, Lightmetry 2002: Metrology and Testing Techniques Using Light, 2003, pp. 38-42, CrossRef I. Fryc, "Analysis of the spectral correction errors of illuminance meter photometric head under the influence of the diffusing element," Optical Engineering, vol. 40, no. 8, pp. 1636-1640, 2001. CrossRef D. Czyzewski, "Monitoring of the subsequent LED lighting installation in Warsaw in the years 2014-2015," in Proceedings of 2016 IEEE Lighting Conference of the Visegrad Countries, Lumen V4 2016, 2016, pp. 1-4, CrossRef M. Sielachowska, D. Tyniecki, and M. Zajkowski, "Measurements of the Luminance Distribution in the Classroom Using the SkyWatcher Type System," in 2018 VII. Lighting Conference of the Visegrad Countries (Lumen V4), 2018, pp. 1-5, CrossRef W. Malska and H. Wachta, "Elements of inferential statistics in a quantitative assessment of illuminations of architectural structures," in 2016 IEEE Lighting Conference of the Visegrad Countries (Lumen V4), 2016, pp. 1-6, CrossRef T. Kruisselbrink, R. Dangol, and A. Rosemann, "Photometric measurements of lighting quality: An overview," Building and Environment, vol. 138, pp. 42-52, 2018. CrossRef A. Borisuit, M. Münch, L. Deschamps, J. Kämpf, and J.-L. Scartezzini, "A new device for dynamic luminance mapping and glare risk assessment in buildings," in Proc. SPIE 8485. Nonimaging Optics: Efficient Design for Illumination and Solar Concentration IX, 2012, vol. 8485, p. 84850M, CrossRef I. Lewin and J. O'Farrell, "Luminaire photometry using video camera techniques," Journal of the Illuminating Engineering Society, vol. 28, no. 1, pp. 57-63, 1999, CrossRef D. Czyżewski, "Research on luminance distributions of chip-on-board light-emitting diodes," Crystals, vol. 9, no. 12, pp. 1-14, 2019, CrossRef K. Tohsing, M. Schrempf, S. Riechelmann, H. Schilke, and G. Seckmeyer, "Measuring high-resolution sky luminance distributions with a CCD camera," Applied optics, vol. 52, no. 8, pp. 1564-1573, 2013. CrossRef D. Czyzewski, "Investigation of COB LED luminance distribution," in Proceedings of 2016 IEEE Lighting Conference of the Visegrad Countries, Lumen V4 2016, 2016, pp. 1-4, CrossRef A. de Vries, J. L. Souman, B. de Ruyter, I. Heynderickx, and Y. A. W. de Kort, "Lighting up the office: The effect of wall luminance on room appraisal, office workers' performance, and subjective alertness," Building and Environment, 2018 CrossRef D. Silvestre, J. Guy, J. Hanck, K. Cornish, and A. Bertone, "Different luminance- and texture-defined contrast sensitivity profiles for school-aged children," Nature. Scientific Reports, vol. 10, no. 13039, 2020, CrossRef H. Wachta, K. Baran, and M. Leśko, "The meaning of qualitative reflective features of the facade in the design of illumination of architectural objects," in AIP Conference Proceedings, 2019, vol. 2078, no. 1, p. 20102. CrossRef CIE, "Technical raport CIE 231:2019. CIE Classification System of Illuminance and Luminance Meters.," Vienna, Austria, 2019. CrossRef DIN, "Standard DIN 5032-7:2017. Photometry - Part 7: Classification of illuminance meters and luminance meters.," 2017. DirectLink CEN, "EN 13032-1:2004. Light and lighting - Measurement and presentation of photometric data of lamps and luminaires - Part 1: Measurement and file format," Bruxelles, Belgium., 2004. DirectLink CIE, "Technical raport CIE 231:2019. CIE Classification System of Illuminance and Luminance Meters," Vienna, Austria, 2019 CrossRef E. Czech, D. Czyzewski, "The linearization of the relationship between scene luminance and digital camera output levels", Photonics Letter of Poland 13, 1 (2021). CrossRef
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Bierings, RAJM, and NM Jansonius. "Luminance and pedestrians’ perceived ability to see after dark: Mapping the Netherlands using a citizen science network of smartphone users." Lighting Research & Technology 51, no. 2 (2018): 231–42. http://dx.doi.org/10.1177/1477153518758355.

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We studied pedestrians’ perception of their ability to see when outside after dark, the luminance of the pavement after dark and the association between perception and luminance. These data were captured by a citizen science network of smartphone users, with and without an eye disease. They used an app to report their ability to see when outside after dark in their own neighbourhood and measured the luminance of the pavement using the smartphone camera. Logistic regression was used to determine the influence of luminance, age, gender and eye disease on reported ability to see after dark. Amongst those respondents who did not report an eye disease, 11% reported visual conditions they perceived to make walking difficult; this increased to 40% for pedestrians who reported an eye disease. The recorded luminances were typically 0.01–0.1 cd/m2. For those respondents with healthy eyes, the percentage reporting difficult visual conditions increased especially below 0.01 cd/m2; for those with an eye disease, the increase started at higher luminances, which may limit their mobility after dark.
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Zalewski, Sławomir, and Krzysztof Skarżyński. "The Photometric Testing of High-Resolution Digital Cameras from Smartphones—A Pilot Study." Sensors 24, no. 21 (2024): 6936. http://dx.doi.org/10.3390/s24216936.

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Luminance is the fundamental photometric quantity representing the technical meaning of brightness. It is usually measured from a distance using a matrix sensor, which is the basis of the professional instrument. However, specific technical requirements must be fulfilled to achieve accurate results. This paper considers whether modern high-resolution smartphone cameras are suitable for luminance measurements. Three cameras from high-end smartphones were evaluated on a dedicated laboratory stand. The sensors’ output characteristics showed relatively good linearity of the individual R, G, and B channels. Unfortunately, the spectral sensitivities were unfavorable, as the minimum error achieved was about 17%. This device is classified outside the generally accepted quality scale for photometric instruments. The presented investigation confirmed that none of the high-resolution smartphone cameras tested was suitable for use as a universal luminance camera. However, one of the test devices can be developmental if restrictively calibrated and used only in a specialistic laboratory stand. Using a smartphone (or only its camera) for luminance measurements requires proper advanced calibration. It is possible, but it limits us to only dedicated applications. The pilot study presented in this paper will help create a suitable test stand for spectacle vision systems, e.g., virtual reality equipment.
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Mah, Dongjun, Michael Kim, and Athanasios Tzempelikos. "Utilization of programmable cameras for web-based sensing and control of daylight in buildings." Journal of Physics: Conference Series 2042, no. 1 (2021): 012114. http://dx.doi.org/10.1088/1742-6596/2042/1/012114.

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Abstract The concept of integrating programmable low-cost cameras into the office infrastructure and BMS for real-time, web-based sensing and control of the luminous environment in buildings is presented in this study. Experiments were conducted to evaluate the potential of predicting the luminance field perceived by an office occupant using a programmable calibrated HDR camera installed at the rear side of a computer monitor or on the wall behind the occupant, for a variety of sky conditions and shading options. The generated luminance maps using Python scripts with OpenCV packages were further processed to extract daylighting and glare metrics using Evalgare. The results showed that: (i) among the different camera resolutions that were compared, the 330x330 resolution was selected as the best option to balance between accurate capturing of visual environment and comfort and computational efficiency; (ii) a camera sensor embedded on the rear side of a computer screen could capture interior visual conditions consistently similarly to those viewed by the occupant, except for sunny conditions without proper shading protection. This prototype study paves the way for luminance monitoring and daylight control using programmable low-cost camera sensors embedded into the office infrastructure.
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G Varghese, Susan, Ciji Pearl Kurian, V. I. George, and T. S. Sudheer Kumar. "Control and evaluation of room interior lighting using digital camera as the sensor." International Journal of Engineering & Technology 7, no. 2.21 (2018): 99. http://dx.doi.org/10.14419/ijet.v7i2.21.11844.

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This paper reports the results of measurements performed in a test room to test how digital camera can be used as luminance meter and thus to investigate the lighting control scheme based on the inputs coming from camera. An indoor lighting control scheme which adapts according to the daylight availability is presented in this work. The camera calibration procedure based on High Dynamic Range Imaging technique is used to obtain the camera response function which allows to relate pixel values obtained from the image and the photopic luminance values. Luminance gradient evaluation for the uniformity analysis is discussed for the test room.
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Zou, Feng, and Shan Chen. "Problems about the Evaluating System of the Pixel Luminance Uniformity of LED Display Using a Digital Camera." Applied Mechanics and Materials 103 (September 2011): 361–65. http://dx.doi.org/10.4028/www.scientific.net/amm.103.361.

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Digital Camera is widely used in the evaluating system of the pixel luminance uniformity of LED display. The evaluating system of the pixel luminance uniformity of LED display using a Digital Camera (DC) has many benefits, but the measuring accuracy is unsatisfied. In the paper the contributing factors are entered into details.
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Kruisselbrink, TW, R. Dangol, ALP Rosemann, and EJ van Loenen. "Spectral tuning of luminance cameras: A theoretical model and validation measurements." Lighting Research & Technology 52, no. 5 (2019): 654–74. http://dx.doi.org/10.1177/1477153519880231.

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Presently, luminance distribution measurement devices, using High Dynamic Range technology, are increasingly used as they provide a lot of relevant data related to the lit environment at once. However, the accuracy of these devices can be a concern. It is expected that the accuracy would be improved by incorporating the effect of the camera spectral responsivity and the spectral power distribution of the illuminant under which the measurements are conducted. This study introduces two optimization criteria incorporating these aspects to improve the spectral match and the performance of luminance distribution measurement devices. Both criteria are tested in a theoretical model and in practical measurements using two cameras and three illuminants: LED, halogen and fluorescent. Both methodologies support the hypothesis that the conventional method to determine the luminance introduces spectral mismatches that can be limited by optimizing relative to the spectral responsivity of the camera. Additionally, substantial evidence was found, by both the theoretical model and the validation measurements, that the spectral power distribution of the illuminant also has an effect on the performance.
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Mead, AR, and KM Mosalam. "Ubiquitous luminance sensing using the Raspberry Pi and Camera Module system." Lighting Research & Technology 49, no. 7 (2016): 904–21. http://dx.doi.org/10.1177/1477153516649229.

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In this paper, the authors have calibrated a Raspberry Pi and Camera Module (RPiCM) for use as an absolute luminance sensor. The spectral response of the RPiCM chip as well as linear mapping to the standard CIE-XYZ colour space have been measured, calculated and presented. The luminance values are anchored to absolute luminance measurements. Further, by using high dynamic range imaging techniques making use of different shutter speeds in a sequence of images, the measurement of luminance values from approximately 10 to 50,000 cd/m2 is possible. Lens correction for vignetting is also addressed, while pixel point spreading is ignored. This measurement goes beyond a single point measurement, economically and accurately allowing each of the arrays within the RPiCM chip to act as an individual luminance meter over the entire field of view of the camera system. Applications and limitations of the embedded camera system are discussed. An Energy Plus model is constructed as a motivational application of a simple one room, one window space and simulated for a year using weather files from around the world. These simulations highlight the need for spatial luminance-based sensing within the built environment to counteract the experience of discomfort glare by building occupants.
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Dissertations / Theses on the topic "Luminance camera"

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Svoboda, Miloslav. "Srovnání konvenčních a nových metod měření a hodnocení jasů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219397.

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Because luminance is the only value to which our sight responds, its measurement becomes important in terms of ensuring the proper function of vision. Nowadays luminance measuring can be made by conventional methods, such as direct using of luminance meter. However an entirely new method of measuring luminance levels is coming. This method is based on using luminance analyzers which work using a digital photography for the analysis of luminance. This thesis deals with these issues and is divided into several chapters, which form the two main parts of the thesis, the theoretical and the practical one. The theoretical part of the thesis deals with the basics of lighting technology, as well as the principles of measuring the luminance using conventional methods. New methods of measurement, i.e. using luminance analyzers, are discussed in two chapters which analyse both the principle and characteristics of analyzers available today. In the practical part is a comparative measurement carried out – in the laboratory and in terrain – using both methods.
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Tohsing, Korntip [Verfasser]. "Derivation of sky luminance and spectral sky radiance from images taken with a CCD camera / Korntip Tohsing." Hannover : Technische Informationsbibliothek (TIB), 2014. http://d-nb.info/1130811050/34.

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[Verfasser], Korntip Tohsing. "Derivation of sky luminance and spectral sky radiance from images taken with a CCD camera / Korntip Tohsing." Hannover : Technische Informationsbibliothek (TIB), 2014. http://nbn-resolving.de/urn:nbn:de:gbv:089-7751729366.

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Ševčík, Ondřej. "Jasové skenování svítidel a světelných zdrojů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-219906.

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Práce se zabývá měřením křivek svítivosti světelných zdrojů a svítidel konvenčními a nekonvenčními metodami. Úvodní část práce je věnována popisu zrakového systému a základních fotometrických veličin. Hlavní teoretická část je zaměřena na popis současných metod měření křivek svítivosti a nových metod měření pomocí jasového analyzátoru. Současně jsou pro jednotlivé metody uvedeny zdroje nejistot, které ovlivňují výsledky měření. Těžiště práce spočívá v návrhu metodiky měření křivek svítivosti z jasových skenů svítidla a následném ověření tohoto postupu vlastním měřením. Dále bylo provedeno srovnání naměřených výsledků navrženým postupem, s výsledky konvenčního měření na goniofotometru s luxmetrem.
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Vlček, Pavel. "Analýza schopnosti jasového analyzátoru LDA - LumiDISP měřit náhradní teplotu chromatičnosti." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442553.

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This master's thesis deals with the search of commercially available luminance analysers and cameras that use the measurement of correlated colour temperature. It also deals with calculations of correlated colour temperature according to various available methods. The luminance analyser LDA-LumiDISP is based on a DSLR camera. The principle of its operation and possible errors in capturing pictures are discussed here. The work deals with extensive testing of the LDA-LumiDISP luminance analyser, which is primarily intended for measuring luminance in the set scene, but can also be used to measure the correlated colour temperature. The device is being tested in terms of measuring the correlated colour temperature in laboratory and field conditions. The result of the master's thesis is the calculation of measurements uncertainty for certain light sources and the optimization of the measuring algorithm to reduce them.
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Chaix, de Lavarène Brice. "L' échantillonnage spatio-chromatique dans la rétine humaine et les caméras numériques." Grenoble 1, 2007. http://www.theses.fr/2007GRE10217.

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Il est aujourd'hui établi que la vision des couleurs chez l'homme est permise par la présence de trois types de photorécepteurs, sensibles respectivement aux courtes, moyennes et grandes longueurs d'onde de la lumière. La présence de ces trois classes d'échantillonneurs induit un espace perceptif des couleurs tridimensionnel. Par ailleurs, les expériences psycho-physiques montrent que le système visuel humain construit trois voies perceptives à partir de l'image échantillonnée au niveau des cônes. L'une contient l'information achromatique, appelée lumi- nance, et les deux autres véhiculent les informations d'oppositions de couleurs rouge moins vert et bleu moins jaune. Cependant, le système visuel est confronté à un problème de taille puisqu'à chaque position spatiale de la rétine, un seul cône est présent. Chaque cône mesure, par conséquent, à la fois l'information de luminance et l'information de couleur. Le mécanisme permettant le passage de cette information rétinienne ambiguë à trois voies perceptives distinctes est encore mal compris, en particulier dans le cas d'un arrangement irrégulier des cônes, tel que c'est le cas dans la rétine. Nous proposons un modèle d'estimation de la luminance et des oppositions de couleurs s'appliquant quel que soit l'arrangement spatial des photorécepteurs, et discutons de ses impli- cations pour le traitement rétinien de la couleur. Ce modèle s'applique également au domaine des caméras numériques dites "mono-capteur", ces dernières étant confrontées à la même pro- blématique d'échantillonnage spatio-chromatique que la rétine<br>It is now well established that the human color vision is allowed by the presence of three types of photoreceptors, sensitive respectively to the short, middle and long wavelengths of light. The presence of these three classes of samplers inducts a perceptive colour space of three dimensions. It is for instance possible to repoduce any colour using three basic colours, cal- led primary colours. Besides, psycho-physics experiments show that the human visual system builds three perceptive channels from the retinal image sampled by the cones. One conveys the achromatic information, called luminance, and the two others convey the colour oppositions red minus green and blue minus yellow. However, the visual system faces a dramatic problem since at each spatial position in the retina, only one sort of cone is present. Consequently, each cone measures both luminance and color information. The mecanism transforming this ambiguous retinal image into three disctinct channels is still not clear, especially when considering the random arrangement of the cones. We propose a model of estimation of the luminance and colour opposition channels. This models applies to any spatial arrangement of the photoreceptors. We also discuss its implica- tions for the retinal processing of colour. This model also applies, in an effective manner, to single-sensor cameras, which are confronted to the same spatio-chromatic sampling issue
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Jehl, Augustin. "Etude photométrique de la surface de Mars à partir de la caméra HRSC à bord de la sonde Mars ExpressPréparation aux observation orbitale multi-angulaire en exploration planétaire." Phd thesis, Université Paul Sabatier - Toulouse III, 2008. http://tel.archives-ouvertes.fr/tel-00276278.

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Parmi les études novatrices que l'on peut aborder depuis l'orbite martienne en utilisant les données multiangulaires de l'instrument HRSC (canaux nadir, stéréographique et photométrique) de Mars Express, figure la détermination des caractéristiques physiques de la surface, pour cartographier les variations des propriétés physiques des sols et des roches de Mars et les relier aux observations spectroscopiques et thermiques réalisées par les instruments OMEGA, TES et THEMIS. <br /> Les modèles de Minnaert et de fonction de phase à deux termes de Hapke s'accordent pour démontrer que les observations multiangulaires de HRSC acquises au cours de la mission sur le cratère Gusev et le flanc sud de Apollinaris peuvent, sous certaines limites, être assemblées pour produire une fonction de phase couvrant un grand intervalle d'angles de phase (5-95°) avec une résolution spatiale de l'ordre de 400 mètres à 1.6 kilomètres.<br /><br />Combiné à la rugosité de surface, l'effet d'opposition joue un rôle significatif, <br />suggérant que les propriétés optiques de l'état de surface au niveau de Gusev sont fortement influencées par la porosité, l'état de compaction et l'organisation de la couche superficielle du régolite. L'aspect cartographique de la présente étude photométrique est utile pour donner une meilleure signification aux variations observées. Selon les tendances générales de cette analyse, il est très probable que la variation photométrique observée, au moins pour les régions centre et Ouest du cratère Gusev, soit partiellement due aux régimes des vents dominants, ces derniers ayant une orientation Nord - Nord Ouest / Sud - Sud Est et induisant une perturbation de la couche supérieure de la surface. Les résultats de cette étude photométrique sont en accord avec des études indépendantes basées sur les données orbitales d'inertie thermique et de spectroscopie de réflectance, et également des données photométriques et d'imagerie microscopique réalisées in situ par les instrument du rover Spirit. Cela conforte l'idée de l'existence en surface d'une couche composée de poussière à grains fins qui aurait été enlevée au niveau des unités de faible albédo révélant ainsi un substrat basaltique sombre formé de matériaux à grains plus grossiers. <br /><br />Ces résultats ouvrent de nouvelles possibilités pour documenter les processus de surface sur les planètes.
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Jehl, Augustin. "Etude photométrique de la surface de Mars à partir de la caméra HRSC à bord de la sonde Mars express : préparation aux observations orbitales multi-angulaires en exploration planétaire." Toulouse 3, 2008. http://www.theses.fr/2008TOU30091.

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Parmi les études novatrices que l'on peut aborder depuis l'orbite martienne en utilisant les données multiangulaires de l'instrument HRSC (canaux nadir, stéréographique et photométrique) de Mars Express, figure la détermination des caractéristiques physiques de la surface, pour cartographier les variations des propriétés physiques des sols et des roches de Mars et les relier aux observations spectroscopiques et thermiques réalisées par les instruments OMEGA, TES et THEMIS. Les modèles de Minnaert et de fonction de phase à deux termes de Hapke s'accordent pour démontrer que les observations multiangulaires de HRSC acquises au cours de la mission sur le cratère Gusev et le flanc sud de Apollinaris peuvent, sous certaines limites, être assemblées pour produire une fonction de phase couvrant un grand intervalle d'angles de phase (5-95°) avec une résolution spatiale de l'ordre de 400 mètres à 1. 6 kilomètres. Combiné à la rugosité de surface, l'effet d'opposition joue un rôle significatif, suggérant que les propriétés optiques de l'état de surface au niveau de Gusev sont fortement influencées par la porosité, l'état de compaction et l'organisation de la couche superficielle du régolite. L'aspect cartographique de la présente étude photométrique est utile pour donner une meilleure signification aux variations observées. Selon les tendances générales de cette analyse, il est très probable que la variation photométrique observée, au moins pour les régions centre et Ouest du cratère Gusev, soit partiellement due aux régimes des vents dominants, ces derniers ayant une orientation Nord - Nord Ouest / Sud - Sud Est et induisant une perturbation de la couche supérieure de la surface. .<br>One of the new investigations from orbit that can be addressed with the multi-angular HRSC/ Mars-Express dataset generated with the nadir-looking, stereo and photometric channels, is to derive the surface photometric characteristics for mapping the variation of the soil/bedrock physical properties of Mars, and to relate them to the spectroscopic and thermal observations produced by OMEGA, TES and THEMIS instruments. Minnaert and two-term phase function Hapke models concur to demonstrate that HRSC multi-angular observations acquired over Gusev crater and Apollinaris southern flank along the ongoing Mars-Express mission can be, under some limitations, pieced together to derive integrated phase functions over a wide range of phase angles (5-95°) at moderate spatial resolution on the order of 400 m-1. 6 km. In combination with the surface roughness variation, the opposition effect appears to play a significant role suggesting that the surface state optical properties across Gusev are strongly influenced by the porosity and packing characteristics of the upper layer of the Martian regolith. The mapping aspect of the present photometric investigation is quite useful to get a better sense of the meaning of the observed variations. Given the overall patterns derived from this analysis, it is quite likely that the observed photometric variation at least for the western and central part of Gusev crater is partly driven by the prevailing wind regimes considered to be oriented north-northwest / south-southeast and disturbing the very upper surface layer. .
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Wei, Hao-Shun, and 魏豪巡. "Study of Measuring the Two Dimensional Luminance of Backlight Module by Digital Camera." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/67137558687325047547.

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碩士<br>國立高雄應用科技大學<br>電機工程系<br>97<br>We propose a fast two-dimensional luminance measurement method through the use of a commercially low-cost digital camera and back-propagation neural network as calibration tool. Because of the neural network, the proposed method becomes resistant to variations of measured samples and errors induced by photography and digital camera so as to result in the measurement with 2.65% error.
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Chang, Wei-Chih, and 張瑋志. "Applying Hyperspectral Camera to Measure Chromaticity Coordinate and Luminance Uniformity of Liquid Crystal Displays." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/06147813525613477853.

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碩士<br>逢甲大學<br>光電研究所<br>96<br>Color and luminance uniformity are important parameters for evaluating the image quality of liquid crystal displays (LCD). This study presents a hyperspectral imaging system for quick and full-field measurement of these parameters. In the system, a hyperspectral camera, based on a prism-grating-prism dispersing element configuration, and line-scanning technique are utilized to measure and store the intensity as a function of wavelength for each point on the surface of the LCD under test. Therefore the measured spectrograph image is actually a three-dimensional (3D) image. The chromaticity coordinate and luminance distribution of the LCD are then derived from this 3D image. A 21-inch LCD was measured by the hyperspectral camera and a spectroradiometer. Comparing the results obtained with these two different instruments yields that the average deviations of measured luminance, x chromaticity coordinate, and y chromaticity coordinate are around 2 %, 0.001, and 0.006, respectively. In addition to the saving in measurement time, experimental results also show the proposed imaging system can provide more information of the LCD image quality than conventional methods.
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Books on the topic "Luminance camera"

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Cutting, James E. Movies on Our Minds. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197567777.001.0001.

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Why do we enjoy popular movies? This book explores perceptual, cognitive, and emotional reasons for our engagement. It considers effects of camera lenses and the layout of images. It outlines the types of transitions between shots, and it traces their historical functions and changes. It classifies different kinds of shots and the changes in them across a century. It explains the arcs of scenes and how they fit into the larger structure of sequences, and then it explores scene- and sequence-like units that have become increasingly prevalent in recent years. It then breaks movies into larger, roughly half-hour parts and provides psychological evidence for them. Finally, it explores the rhythms of whole movies, first observing the flow of physical changes—shot durations, luminance, motion, and clutter—as it has developed over time, and then how cinematic polyrhythms have come to match aspects of those in the human body. Overall, this book focuses on how the narration, the manner in which the story is told, has come to reinforce the structure of the narrative, the story proper. It uses several hundred popular movies released over a century and embeds its exploration in discussions of evolution, culture, and technological change. The changes in movies have contributed to viewers’ engagement by sustaining attention, promoting understanding of the narrative, heightening emotional commitment, and fostering their felt presence in the story. Examples of cinematic effects in particular movies are given at every turn.
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Book chapters on the topic "Luminance camera"

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Yang, Sejung, Yoon-Ah Kim, Chaerin Kang, and Byung-Uk Lee. "Color Compensation Using Nonlinear Luminance-RGB Component Curve of a Camera." In Advances in Visual Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24031-7_62.

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Conference papers on the topic "Luminance camera"

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Xu, Fa, Yujie Huang, Xiaoyang Zeng, Ming'e Jing, and Yibo Fan. "A Controllable Luminance Neural Camera." In 2022 IEEE 16th International Conference on Solid-State & Integrated Circuit Technology (ICSICT). IEEE, 2022. http://dx.doi.org/10.1109/icsict55466.2022.9963440.

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Mentens, A., G. H. Scheir, Y. Ghysel, F. Descamps, J. Lataire, and V. A. Jacobs. "OPTIMIZING CAMERA PLACEMENT FOR A LUMINANCE-BASED SHADING CONTROL SYSTEM." In CIE 2021 Conference. International Commission on Illumination, CIE, 2021. http://dx.doi.org/10.25039/x48.2021.po39.

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Shading control strategies are nowadays employed in office environments to improve the visual comfort of the user. These strategies are often solely illuminance-based whereas comfort metrics as the Daylight Glare Probability (DGP) also need luminance values. In previous studies, daylight glare has been assessed by calculating the DGP from luminance maps obtained via a luminance camera or from a High Dynamic Range (HDR) image obtained with a commercially available camera. These detectors are traditionally mounted close to the user and aligned with the viewing direction. In real office environments, this camera position is impractical, and simulations based on machine learning techniques have shown a relation between the DGP from an observer's viewpoint and the DGP calculated from a ceiling camera. This paper experimentally validates this method in a real office environment by using two different cameras and two different illuminance sensors, i.e., a low-cost illuminance sensor and a calibrated sensor. Both cameras render similar results, although one camera overestimates the DGP. Moreover, the shortcomings of the simulation results are pinpointed and the obstacles for a realistic application are addressed. Furthermore, it was found that when moving the cameras to different positions, the sun position was shown to be an informative additional input for correlating the two DGP values. In future work, additional data will be analysed to determine the performance in other weather conditions and window orientations.
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Baishya, Nayan Moni, and Prabin Kumar Bora. "Luminance Channel Based Camera Model Identification." In 2020 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2020. http://dx.doi.org/10.1109/spcom50965.2020.9179564.

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Blaszczak, Ursula J. "Pinhole digital camera in luminance distribution measurements." In SPIE Proceedings, edited by Ryszard S. Romaniuk. SPIE, 2006. http://dx.doi.org/10.1117/12.674841.

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Motyčka, M., J. Škoda, F. Novák, and P. Baxant. "THE MEASUREMENT UNCERTAINTY OF THE IMAGING LUMINANCE MEASUREMENT DEVICES." In CIE 2023 Conference. International Commission on Illumination, CIE, 2023. http://dx.doi.org/10.25039/x50.2023.po124.

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An imaging luminance measuring device (ILMD) is capable of simultaneous luminance measurement in every pixel of captured image. A conventional luminance meter only measures average luminance in defined viewing angle. An imaging luminance measuring device offers more flexibility and complexity to the luminance analysis of region of interest. However, these devices require complex hardware and software calibration and the uncertainty analysis is therefore more difficult than in case of a conventional luminance meter. In this article a reader learns about the estimation of measurement uncertainties of imaging luminance measurement devices based on the digital camera. Expanded uncertainty in luminance measurement depends on settings of a digital camera and is not uniform across the image. Therefore, 3D functions are chosen for best representing of expanded uncertainty.
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Hansen, Peter, Marilyne Andersen, and Jan Wienold. "HDR IMAGES FOR GLARE EVALUATION: COMPARISON BETWEEN DSLR CAMERAS, AN ABSOLUTE CALIBRATED LUMINANCE CAMERA AND A SPOT LUMINANCE METER." In CIE 2017 Midterm Meetings and Conference on Smarter Lighting for Better Life. International Commission on Illumination, CIE, 2018. http://dx.doi.org/10.25039/x44.2017.pp13.

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Rusu, Alexandru Viorel, Catalin Daniel Galatanu, and Dorin Dumitru Lucache. "Luminance Uniformity Analysis Based on Digital Camera Measurements." In 2020 International Conference and Exposition on Electrical And Power Engineering (EPE). IEEE, 2020. http://dx.doi.org/10.1109/epe50722.2020.9305547.

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Kumar, T. S. Sudheer, and Ciji Pearl Kurian. "Commissioning of camera calibration factor for luminance measurement." In 2014 International Conference on Advances in Energy Conversion Technologies (ICAECT). IEEE, 2014. http://dx.doi.org/10.1109/icaect.2014.6757086.

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Kim, D., G. Quek, and J. Wienold. "PERFORMANCE INVESTIGATION OF CAMERAS USING HDR SENSORS FOR DAYLIGHT GLARE EVALUATIONS." In CIE 2023 Conference. International Commission on Illumination, CIE, 2023. http://dx.doi.org/10.25039/x50.2023.op059.

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This study presents a novel framework for evaluating the luminance measurement capabilities of High Dynamic Range (HDR) sensor cameras in indoor glare conditions. Results indicate that the practical usage range of the CSEM VIP camera is significantly lower than specified, but it provides reliable measurements within its range (around 10% difference up to 30 kcd/m2 compared to ILMDs). The TRI054S camera demonstrates reliable measurements under much higher illumination with an error of less than 10%. However, in lower luminance areas when intense glare is present, it produces noise, making analysis challenging compared to the performance of ILMDs. This limitation may be overcome by merging images taken with and without an ND filter. Overall, HDR sensor cameras show potential for real-time monitoring of rapidly changing luminous environments and could provide personalized glare measurements when used as wearable devices.
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Grana, Constantino, Daniele Borghesani, Paolo Santinelli, and Rita Cucchiara. "Veiling Luminance estimation on FPGA-based embedded smart camera." In 2012 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2012. http://dx.doi.org/10.1109/ivs.2012.6232154.

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