Relevant bibliographies by topics / FOVEON

Contents

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

Academic literature on the topic 'FOVEON'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "FOVEON"

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Halazonetis, Demetrios J. "What is the Foveon chip?" American Journal of Orthodontics and Dentofacial Orthopedics 125, no. 3 (March 2004): 390. http://dx.doi.org/10.1016/j.ajodo.2003.11.006.

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Gehrke, R., and A. Greiwe. "MULTISPECTRAL IMAGE CAPTURING WITH FOVEON SENSORS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W2 (August 16, 2013): 151–56. http://dx.doi.org/10.5194/isprsarchives-xl-1-w2-151-2013.

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Vlachos, M., D. Skarlatos, and P. Bodin. "FOVEON VS BAYER: COMPARISON OF 3D RECONSTRUCTION PERFORMANCES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9 (January 31, 2019): 755–61. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w9-755-2019.

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<p><strong>Abstract.</strong> The main idea of this particular study was to validate if the new FOVEON technology implemented by sigma cameras can provide better overall results and outperform the traditional Bayer pattern sensor cameras regarding the radiometric information that records as well as the photogrammetric point cloud quality that can provide. Based on that, the scope of this paper is separated into two evaluations. First task is to evaluate the quality of information reconstructed during de-mosaicking step for Bayer pattern cameras by detecting potential additional colour distortion added during the de-mosaicking step, and second task is the geometric comparisons of point clouds generated by the photos by Bayer and FOVEON sensors against a reference point cloud. The first phase of the study is done using various de-mosaicking algorithms to process various artificial Bayern pattern images and then compare them with reference FOVEON images. The second phase of the study is carried on by reconstructing 3D point clouds of the same objects captured by a Bayer and a FOVEON sensor respectively and then comparing the various point clouds with a reference one, generated by a structured light hand-held scanner. The comparison is separated into two parts, where initially we evaluate five separate point clouds (RGB, Gray, Red, Green, Blue) for each camera sensor per site and then a second comparison is evaluated on colour classified RGB point cloud segments.</p>
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Moreno, Daniel, Julio Rufo, Victor Guerra, Jose Rabadan, and Rafael Perez-Jimenez. "Effect of Temperature on Channel Compensation in Optical Camera Communication." Electronics 10, no. 3 (January 22, 2021): 262. http://dx.doi.org/10.3390/electronics10030262.

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General-purpose Complementary Metal Oxide Semiconductor (CMOS) sensors perform the image desegregation in three channels (red, green, and blue) as a result of a band-pass wavelength filtering carried out using Foveon or Bayer filters. This characteristic can be used in Optical Camera Communication (OCC) systems for increasing the links’ data rate by introducing Wavelength Division Multiplexing (WDM) or Color Shift Keying (CSK) modulation schemes. However, these techniques need a compensation stage to mitigate the cross-talk between channels introduced by the filters. This compensation is performed by a Channel State Information (CSI) estimation and a zero-forcing compensation scheme. The impact of the temperature effects of light-emitting diode (LED) emissions on the zero-forcing compensation scheme’s performance has not been analyzed in depth. This work presents a comprehensive methodology and experimental characterization of this impact for Foveon and Bayer-based image sensors, assuming that the CSI is estimated under temperature conditions different from the LED’s stationary temperature regime. Besides, Signal-to-Interference-plus-Noise Ratio (SINR) and Bit Error Rate (BER) performance metrics are presented in order to estimate the repercussion in an OCC link. The results reveal that the Foveon sensor obtains more unsatisfactory performance than the Bayer-based sensor. On the other hand, the blue band is the most penalized by the thermal effect.
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Marqués-Mateu, Ángel, José Luis Lerma, and Gabriel Riutort-Mayol. "Statistical grey level and noise evaluation of Foveon X3 and CFA image sensors." Optics & Laser Technology 48 (June 2013): 1–15. http://dx.doi.org/10.1016/j.optlastec.2012.09.034.

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Bringmann, Andreas, Jan Darius Unterlauft, Renate Wiedemann, Thomas Barth, Matus Rehak, and Peter Wiedemann. "Two different populations of Müller cells stabilize the structure of the fovea: an optical coherence tomography study." International Ophthalmology 40, no. 11 (July 6, 2020): 2931–48. http://dx.doi.org/10.1007/s10792-020-01477-3.

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Abstract Purpose To document with spectral-domain optical coherence tomography the structural stabilization of the fovea and the sealing of outer macular defects by Müller cells. Methods A retrospective case series of 45 eyes of 34 patients is described. Results In cases of a cystic disruption of the foveola as in macular telangiectasia type 2 and vitreomacular traction, the Müller cell cone provides the structural stability of the fovea. In cases of a detachment or disruption of the Müller cell cone, e.g., in foveal pseudocysts, outer lamellar holes, and degenerative and tractional lamellar holes, Müller cells of the foveal walls may provide the structural stability of the fovea by the formation of a hyperreflective external limiting membrane (ELM) which bridges the holes in the central outer nuclear layer (ONL). Müller cells of the foveal walls and parafovea mediate the regeneration of the foveal architecture in cases of outer lamellar and full-thickness macular holes. The regeneration proceeds by a centripetal displacement of photoreceptor cell somata which closes the holes in the central ONL. The closure may be supported by the formation of a glial tissue band at the ELM which seals the hole. Conclusions The Müller cell cone provides the foveal stability in cases of a cystic disruption of the foveola. The structural stability of the outer foveal layers is mainly provided by the Müller cells of the foveal walls and parafovea; these cells also mediate the regeneration of the outer fovea in cases of a defect of the central ONL.
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Fent, Livio, and Al Meldrum. "A Foveon Sensor/Green-Pass Filter Technique for Direct Exposure of Traditional False Color Images." Journal of Imaging 2, no. 2 (May 10, 2016): 14. http://dx.doi.org/10.3390/jimaging2020014.

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Moore, Bret A., Innfarn Yoo, Luke P. Tyrrell, Bedrich Benes, and Esteban Fernandez-Juricic. "FOVEA: a new program to standardize the measurement of foveal pit morphology." PeerJ 4 (April 11, 2016): e1785. http://dx.doi.org/10.7717/peerj.1785.

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The fovea is one of the most studied retinal specializations in vertebrates, which consists of an invagination of the retinal tissue with high packing of cone photoreceptors, leading to high visual resolution. Between species, foveae differ morphologically in the depth and width of the foveal pit and the steepness of the foveal walls, which could influence visual perception. However, there is no standardized methodology to measure the contour of the foveal pit across species. We present here FOVEA, a program for the quantification of foveal parameters (width, depth, slope of foveal pit) using images from histological cross-sections or optical coherence tomography (OCT). FOVEA is based on a new algorithm to detect the inner retina contour based on the color variation of the image. We evaluated FOVEA by comparing the fovea morphology of two Passerine birds based on histological cross-sections and its performance with data from previously published OCT images. FOVEA detected differences between species and its output was not significantly different from previous estimates using OCT software. FOVEA can be used for comparative studies to better understand the evolution of the fovea morphology in vertebrates as well as for diagnostic purposes in veterinary pathology. FOVEA is freely available for academic use and can be downloaded at:http://estebanfj.bio.purdue.edu/fovea.
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Riutort-Mayol, Gabriel, Ángel Marqués-Mateu, Ana Elena Seguí, and José Luis Lerma. "Grey Level and Noise Evaluation of a Foveon X3 Image Sensor: A Statistical and Experimental Approach." Sensors 12, no. 8 (July 31, 2012): 10339–68. http://dx.doi.org/10.3390/s120810339.

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Tang, Peter, Keiji Fujio, Robert Strauch, Melvin Rosenwasser, and Taiichi Matsumoto. "The Optimal Suture Placement and Bone Tunnels for TFCC Repair: A Cadaveric Study." Journal of Wrist Surgery 07, no. 05 (June 26, 2018): 375–81. http://dx.doi.org/10.1055/s-0038-1661361.

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Background Transosseous repair of foveal detachment of the triangular fibrocartilage complex (TFCC) is effective for distal radioulnar joint stabilization. However, studies of the optimal foveal and TFCC suture positions are scant. Purpose The purpose of this study was to clarify the optimal TFCC suture position and bone tunnels for transosseous foveal repair. Materials and Methods Seven cadavers were utilized. The TFCC was incised at the foveal insertion and sutured at six locations (TFCCs 1–6) using inelastic sutures. Six osseous tunnels were created in the fovea (foveae 1–6). Fovea 2 is located at the center of the circle formed by the ulnar head overlooking the distal end of the ulna (theoretical center of rotation); fovea 5 is located 2 mm ulnar to fovea 2. TFCC 5 is at the ulnar apex of the TFCC disc; TFCC 4 is 2 mm dorsal to TFCC 5. TFCC 1 to 6 sutures were then placed through each of the six osseous tunnels, resulting in 36 combinations, which were individually tested. The forearm was placed in five positions between supination and pronation, and the degree of suture displacement was measured. The position with the least displacement indicated the isometric point of the TFCC and fovea. Results The mean distance of suture displacement was 2.4 ± 1.6 mm. Fovea 2, combined with any TFCC location, (0.7 ± 0.6 mm) and fovea group 5, combined with TFCC 4 location (0.8 ± 0.8) or with TFCC 5 location (0.9 ± 0.6) had statistically shorter suture displacements than any other fovea groups. Conclusion For TFCC transosseous repair, osseous tunnel position was more important than TFCC suture location.
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Dissertations / Theses on the topic "FOVEON"

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Cheak, Seck Fai. "Detecting near-UV and near-IR wavelengths with the FOVEON Image Sensor /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FCheak.pdf.

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Thesis (M.S. in Combat Systems Technology)--Naval Postgraduate School, Dec. 2004.
Thesis Advisor(s): Gamani Karunasiri, Richard C. Olsen. Includes bibliographical references (p. 57-60). Also available online.
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Nugent, Devon Courtney. "Analysis of FOVEON multi-spectral sensor for counter-camouflage, concealment and deception applications." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Dec%5FNugent.pdf.

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Thesis (M.S. in Applied Physics)--Naval Postgraduate School, December 2005.
Thesis Advisor(s): Richard C. Olsen, Gamani Karunasiri. Includes bibliographical references (p. 49). Also available online.
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Nováček, Petr. "Moderní prostředky pro digitální snímání scény." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221292.

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The thesis composes conventional and modern methods for digital scene capturing. The target of the thesis is a comparison of CMOS with Bayer mask and Foveon X3 Merrill sensors followed by a design of algorithms for image fusion which can combine advantages of the both sensor types. The thesis starts with an introduction and a description of methods and processes leading to scene capturing. The next part deals with capturing a gallery of test images and with a comparison of both sensors based on the gallery images. Further there are algorithms designed for image fusion which can combine advantages of the selected sensors. The last part of the thesis is devoted to an evaluation of results and of the used algorithms.
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Andreux, Mathieu. "Foveal autoregressive neural time-series modeling." Electronic Thesis or Diss., Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEE073.

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Cette thèse s'intéresse à la modélisation non-supervisée de séries temporelles univariées. Nous abordons tout d'abord le problème de prédiction linéaire des valeurs futures séries temporelles gaussiennes sous hypothèse de longues dépendances, qui nécessitent de tenir compte d'un large passé. Nous introduisons une famille d'ondelettes fovéales et causales qui projettent les valeurs passées sur un sous-espace adapté au problème, réduisant ainsi la variance des estimateurs associés. Dans un deuxième temps, nous cherchons sous quelles conditions les prédicteurs non-linéaires sont plus performants que les méthodes linéaires. Les séries temporelles admettant une représentation parcimonieuse en temps-fréquence, comme celles issues de l'audio, réunissent ces conditions, et nous proposons un algorithme de prédiction utilisant une telle représentation. Le dernier problème que nous étudions est la synthèse de signaux audios. Nous proposons une nouvelle méthode de génération reposant sur un réseau de neurones convolutionnel profond, avec une architecture encodeur-décodeur, qui permet de synthétiser de nouveaux signaux réalistes. Contrairement à l'état de l'art, nous exploitons explicitement les propriétés temps-fréquence des sons pour définir un encodeur avec la transformée en scattering, tandis que le décodeur est entraîné pour résoudre un problème inverse dans une métrique adaptée
This dissertation studies unsupervised time-series modelling. We first focus on the problem of linearly predicting future values of a time-series under the assumption of long-range dependencies, which requires to take into account a large past. We introduce a family of causal and foveal wavelets which project past values on a subspace which is adapted to the problem, thereby reducing the variance of the associated estimators. We then investigate under which conditions non-linear predictors exhibit better performances than linear ones. Time-series which admit a sparse time-frequency representation, such as audio ones, satisfy those requirements, and we propose a prediction algorithm using such a representation. The last problem we tackle is audio time-series synthesis. We propose a new generation method relying on a deep convolutional neural network, with an encoder-decoder architecture, which allows to synthesize new realistic signals. Contrary to state-of-the-art methods, we explicitly use time-frequency properties of sounds to define an encoder with the scattering transform, while the decoder is trained to solve an inverse problem in an adapted metric
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Eilerman, Amanda Louise. "Foveal Pit Curvature in a Normal Population." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461109213.

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Pierce, Gilbert E. "Psychophysical analysis of foveal visual losses in glaucoma /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487857546389003.

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White, Sarah Jane. "Non-foveal text processing and fixation positions in reading." Thesis, Durham University, 2003. http://etheses.dur.ac.uk/3137/.

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This thesis reports seven experiments which investigate what determines where the eyes move during reading. Specifically, the experiments examine what kinds of linguistic information can influence where words are first fixated and refixated. Experiment 1 showed that fixations landed nearer to the beginning of words in which the initial letter sequence was misspelled, compared to when the words were spelled correctly. Experiments 2 and 3 showed that the effects of misspellings on saccade programming can not be explained by lexical non-foveal preprocessing, and therefore the results of Experiment 1 must be due to preprocessing of the orthographic familiarity of word initial letter sequences. These results were confirmed in Experiment 4, which showed that first fixations landed nearer to the beginning of correctly spelled words with orthographically irregular, compared to orthographically regular, initial letter sequences. Furthermore, Experiment 5 showed that these effects held for sentences presented in upper case text. Furthermore, Experiments 6 and 7 demonstrated that the influence of orthography on saccade programming was independent of foveal processing difficulty. These results are most consistent with an attraction based explanation in which preprocessing of orthography, independent of processing load, influences the word length and launch site based saccade programme to produce a small shift in the preferred viewing position in the direction of the orthographic irregularity. The results also show that linguistic processing can influence the direction and length of refixation saccades. Furthermore, although preprocessing of orthography can influence saccade programming, the results provide no consistent evidence for an influence of orthography on prior fixation durations or probabilities. These results indicate that there is independent processing of when and where the eyes move. The absence of robust "parafoveal-on-foveal" effects provides no support for parallel processing models of reading.
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Fong, Aik Meng. "Aspects of multi-resolutional foveal images for robot vision." Thesis, Imperial College London, 1991. http://hdl.handle.net/10044/1/46773.

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Ciamacca, Marisa Lynn. "Foveal Phase Retardation Correlation with Henle Fiber Layer Thickness." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492631647528424.

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Chui, Toco Yuen Ping. "Influence of myopia on cone packing density and foveal morphology." [Bloomington, Ind.] : Indiana University, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3386667.

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Thesis (Ph.D.)--Indiana University, School of Optometry, 2009.
Title from PDF t.p. (viewed on Jul 20, 2010). Source: Dissertation Abstracts International, Volume: 70-12, Section: B, page: 7503. Adviser: Stephen A. Burns.
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Books on the topic "FOVEON"

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The silicon eye. New York: W.W. Norton & Co., 2005.

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TAKTSIS, Kostas. To fovero vima. Athens: Exantos, 1989.

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Spiers, Sheila M. The Kirkyard of Foveran. Aberdeen, Scotland: Aberdeen & North-East Scotland Family History Society, 2005.

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The mortification of Fovea Munson. New York, NY: Disney Press, 2018.

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Porter, Ester Elizabeth. Factors affecting short-wavelength resolution acuity in foveal and peripheral vision. [s.l: The Author], 2002.

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Maxwell, A. Strath. Monumental inscriptions and register of burials, Foveran Churchyard, Aberdeenshire, Scotland, 1753-1966. Hazlehead, Aberdeen, Scotland: A.S. Maxwell, 1988.

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Beckert, Bernhard. Formal Verification of Object-Oriented Software: International Conference, FoVeOOS 2010, Paris, France, June 28-30, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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Ferruccio, Damiani, Gurov Dilian, and SpringerLink (Online service), eds. Formal Verification of Object-Oriented Software: International Conference, FoVeOOS 2011, Turin, Italy, October 5-7, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Kunze, Emil. Lateinische Texte auf Exlibris: Exlibris, amicis, vocabula haec omnia sunt translata, quae qui fovet, ei prodest. 2nd ed. Frederikshavn: Verlag Exlibristen, 2000.

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Kunze, Emil. Lateinische Texte auf Exlibris: Exlibris, amicis vocabula haec omnia sunt translata, quae qui fovet, ei prodest. Frederikshavn: Verlag Exlibristen, 1998.

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Book chapters on the topic "FOVEON"

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Wirostko, William J. "Fovea, Foveal Avascular Zone (FAZ)." In Encyclopedia of Ophthalmology, 1–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35951-4_85-4.

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Wirostko, William J. "Fovea, Foveal Avascular Zone (FAZ)." In Encyclopedia of Ophthalmology, 776–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-540-69000-9_85.

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Wirostko, William J. "Foveola." In Encyclopedia of Ophthalmology, 777–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-540-69000-9_86.

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Wirostko, William J. "Foveola." In Encyclopedia of Ophthalmology, 1–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35951-4_86-6.

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Evans, David C. "Foveal Acuity." In Bottlenecks, 3–12. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2580-6_1.

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Clark, Uraina S. "Fovea." In Encyclopedia of Clinical Neuropsychology, 1467–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1368.

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Verster, Joris C., Thomas M. Tzschentke, Kieran O’Malley, Francis C. Colpaert, Bart Ellenbroek, Bart Ellenbroek, R. Hamish McAllister-Williams, et al. "Fovea." In Encyclopedia of Psychopharmacology, 545. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_1270.

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Clark, Uraina. "Fovea." In Encyclopedia of Clinical Neuropsychology, 1072–73. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1368.

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Krafsur, E. S., R. D. Moon, R. Albajes, O. Alomar, Elisabetta Chiappini, John Huber, John L. Capinera, et al. "Fovea." In Encyclopedia of Entomology, 1532. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_3884.

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Clark, Uraina. "Fovea." In Encyclopedia of Clinical Neuropsychology, 1–2. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1368-2.

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Conference papers on the topic "FOVEON"

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Zhang, Jiashu. "Film-like images with super-fine details using Foveon X3 Technology." In Imaging Systems and Applications. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/isa.2017.im3e.4.

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Song, Qinghe, Yanmei Wu, Patrice Tankam, Pascal Picart, and Junchang Li. "Research on the recording hologram with Foveon in digital color holography." In Photonics Asia 2010, edited by Yunlong Sheng, Chongxiu Yu, and Linsen Chen. SPIE, 2010. http://dx.doi.org/10.1117/12.868636.

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Hubel, Paul M., John Liu, and Rudolph J. Guttosch. "Spatial frequency response of color image sensors: Bayer color filters and Foveon X3." In Electronic Imaging 2004, edited by Morley M. Blouke, Nitin Sampat, and Ricardo J. Motta. SPIE, 2004. http://dx.doi.org/10.1117/12.561568.

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Dallas, William J., Hans Roehrig, and Elizabeth A. Krupinski. "Image quality analysis of a color LCD as well as a monochrome LCD using a Foveon color CMOS camera." In Optical Engineering + Applications, edited by F. Patrick Doty, H. Bradford Barber, and Hans Roehrig. SPIE, 2007. http://dx.doi.org/10.1117/12.740250.

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Benko, Hrvoje, Eyal Ofek, Feng Zheng, and Andrew D. Wilson. "FoveAR." In UIST '15: The 28th Annual ACM Symposium on User Interface Software and Technology. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2807442.2807493.

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Tollmar, Konrad, Pietro Lungaro, Alfredo Fanghella Valero, and Ashutosh Mittal. "Beyond foveal rendering." In SIGGRAPH '17: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3084363.3085163.

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Zwick, Harry, Scottie B. Reynolds, and David J. Lund. "Effects Of Punctate Foveal Damage On Foveal ERG Spectral Sensitivity." In OE/LASE '89, edited by Kazuhiko Atsumi, Norman R. Goldblatt, and Stephen N. Joffe. SPIE, 1989. http://dx.doi.org/10.1117/12.952068.

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Chen, Kuan-Wen, Chih-Wei Lin, Mike Y. Chen, and Yi-Ping Hung. "e-Fovea." In the international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1873951.1873995.

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Auepanwiriyakul, Chaiyawan, Alex Harston, Pavel Orlov, Ali Shafti, and A. Aldo Faisal. "Semantic fovea." In ETRA '18: 2018 Symposium on Eye Tracking Research and Applications. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3204493.3208349.

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Fletcher-Holmes, David W., and Andrew R. Harvey. "Snapshot foveal hyperspectral imager." In International Symposium on Optical Science and Technology, edited by Sylvia S. Shen. SPIE, 2002. http://dx.doi.org/10.1117/12.451617.

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Reports on the topic "FOVEON"

1

Eichenlaub, Jesse B. Ultra High Resolution Dynamic Foveal Vision Display. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada525811.

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2

Gerhart, G. R., R. M. Matchko, and R. Goetz. Fundamentals of the Human Foveal Vision System. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada457946.

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