Relevant bibliographies by topics / Human vision

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

Academic literature on the topic 'Human vision'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Human vision"

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Kumazawa, Itsuo. "Machine Vision and Human Vision." Journal of The Institute of Image Information and Television Engineers 60, no. 1 (2006): 36–42. http://dx.doi.org/10.3169/itej.60.36.

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Bouma, Herman. "Human Vision and Computer Vision." Contemporary Psychology: A Journal of Reviews 30, no. 1 (1985): 47. http://dx.doi.org/10.1037/023481.

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Dowling, Jason. "Artificial human vision." Expert Review of Medical Devices 2, no. 1 (2005): 73–85. http://dx.doi.org/10.1586/17434440.2.1.73.

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Haacke, Stefan, and Majed Chergui. "Unlocking Human Vision." Europhysics News 30, no. 4 (1999): 101. http://dx.doi.org/10.1007/s00770-999-0101-0.

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Haacke, Stefan, and Majed Chergui. "Unlocking Human Vision." Europhysics news 30, no. 4 (1999): 101. http://dx.doi.org/10.1007/s007700050151.

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Mikami, Akichika. "Special Edition. Human Vision. Brain Mechanisms of Vision." Journal of the Institute of Television Engineers of Japan 48, no. 12 (1994): 1494–501. http://dx.doi.org/10.3169/itej1978.48.1494.

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Kobayashi, Takeshi, and Tetsuyo Watanabe. "Possibility of human detection through vision-based safety system." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (2015): 88–89. http://dx.doi.org/10.1299/jsmeicam.2015.6.88.

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Scheirer, Walter J., Samuel E. Anthony, Ken Nakayama, and David D. Cox. "Perceptual Annotation: Measuring Human Vision to Improve Computer Vision." IEEE Transactions on Pattern Analysis and Machine Intelligence 36, no. 8 (2014): 1679–86. http://dx.doi.org/10.1109/tpami.2013.2297711.

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Uomori, Kenya, and Mitsuho Yamada. "Special Edition. Human Vision. Stereoscopic Vision and Depth Perception." Journal of the Institute of Television Engineers of Japan 48, no. 12 (1994): 1502–8. http://dx.doi.org/10.3169/itej1978.48.1502.

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Montalbano, Vera, and Daniela Marchini. "Colours: Human Vision and Surroundings." Journal of Physics: Conference Series 1929, no. 1 (2021): 012012. http://dx.doi.org/10.1088/1742-6596/1929/1/012012.

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Dissertations / Theses on the topic "Human vision"

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Midgley, Caroline Ann. "Binocular interactions in human vision." Thesis, Durham University, 1998. http://etheses.dur.ac.uk/4839/.

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Early visual processing is subject to binocular interactions because cells in striate cortex show binocular responses and ocular dominance (Hubel & Weisel, 1968). The work presented in this thesis suggests that these physiological interactions can be revealed in psychophysical experiments using normal human observers. In the region corresponding to the blind spot, where binocular interactions differ from areas of the visual field which are represented by two eyes, monocular contrast sensitivity is increased. This finding can be partially explained by an absence of normal binocular interactions
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Cehajic-Kapetanovic, Jasmina. "Restoring vision using human opsins." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/restoring-vision-using-human-opsins(7547b335-6ded-4358-a932-49e2c79494c4).html.

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Inherited retinal degenerations (IRDs) are progressive degenerative conditions that affect around 1 in 2500 people worldwide and lead to severe visual impairment due to irreversible loss of photoreceptors. These conditions are currently untreatable. However, inner retinal neurons, including bipolar and ganglion cells, can survive representing promising targets for emerging optogenetic therapies that aim to convert them into photoreceptors and recreate the lost photosensitivity. However, efficient targeting of these surviving cells, such as ON-bipolar cells, has not been achieved. In addition,
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Mazhar, Osama. "Vision-based human gestures recognition for human-robot interaction." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTS044.

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Dans la perspective des usines du futur, pour garantir une interaction productive, sure et efficace entre l’homme et le robot, il est impératif que le robot puisse interpréter l’information fournie par le collaborateur humain. Pour traiter cette problématique nous avons exploré des solutions basées sur l’apprentissage profond et avons développé un framework pour la détection de gestes humains. Le framework proposé permet une détection robuste des gestes statiques de la main et des gestes dynamiques de la partie supérieure du corps.Pour la détection des gestes statiques de la main, openpose est
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Ajzenman, Heather. "Binocular vision skills in human observers /." South Hadley, Mass. : [s.n.],, 2008. http://ada.mtholyoke.edu/setr/websrc/pdfs/www/2008/293.pdf.

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Harrison, Andre V. "Information content models of human vision." Thesis, The Johns Hopkins University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3572710.

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<p>From night vision goggles, to infrared imagers, to remote controlled bomb disposal robots; we are increasingly employing electronic vision sensors to extend or enhance the limitations of our own visual sensory system. And while we can make these systems better in terms of the amount of power they use, how much information they capture, or how much information they can send to the viewer, it is also important to keep in mind the capabilities of the human who must receive this visual information from the sensor and display system. The best interface between our own visual sensory system and t
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Wink, Brian. "Spatial coding in human peripheral vision." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296632.

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Pinney, Huw David. "Modelling chromatic processes in human vision." Thesis, City University London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332774.

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Meese, Tim. "Feature coding in human pattern vision." Thesis, University of Bristol, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238948.

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Latham, Keziah J. C. "Psychophysical investigations of human peripheral vision." Thesis, Aston University, 1995. http://publications.aston.ac.uk/14598/.

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This thesis investigates various aspects of peripheral vision, which is known not to be as acute as vision at the point of fixation. Differences between foveal and peripheral vision are generally thought to be of a quantitative rather than a qualitative nature. However, the rate of decline in sensitivity between foveal and peripheral vision is known to be task dependent and the mechanisms underlying the differences are not yet well understood. Several experiments described here have employed a psychophysical technique referred to as 'spatial scaling'. Thresholds are determined at several eccen
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Makela, Pia K. "Spatial scaling in human peripheral vision." Thesis, Aston University, 1994. http://publications.aston.ac.uk/14603/.

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The observation that performance in many visual tasks can be made independent of eccentricity by increasing the size of peripheral stimuli according to the cortical magnification factor has dominated studies of peripheral vision for many years. However, it has become evident that the cortical magnification factor cannot be successfully applied to all tasks. To find out why, several tasks were studied using spatial scaling, a method which requires no pre-determined scaling factors (such as those predicted from cortical magnification) to magnify the stimulus at any eccentricity. Instead, thresho
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Books on the topic "Human vision"

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Kremers, Jan, Rigmor C. Baraas, and N. Justin Marshall, eds. Human Color Vision. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44978-4.

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M, Boynton Robert, ed. Human color vision. 2nd ed. Optical Society of America, 1996.

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Cantoni, Virginio, ed. Human and Machine Vision. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1004-2.

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N, Martin W., and Aggarwal J. K. 1936-, eds. Motion understanding: Robot and human vision. Kluwer Academic Publishers, 1988.

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Hu, Zhongxu, and Chen Lv. Vision-Based Human Activity Recognition. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2290-9.

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1931-, Rosenfeld Azriel, and Workshop on Human and Machine Vision (2nd : 1984 : Montréal, Québec), eds. Human and machine vision II. Academic Press, 1986.

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Christopher, John Raymond. The rejuvenation of human vision. Healthview, 1985.

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B, Watson Andrew, ed. Digital images and human vision. MIT Press, 1993.

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Kinney, Jo Ann S. Human underwater vision: Physiology and physics. Undersea Medical Society, 1985.

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McCafferty, James D. Human and machinevision: Computing perceptual organisation. Horwood, 1990.

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Book chapters on the topic "Human vision"

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Drury, S. A. "Human vision." In Image Interpretation in Geology. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-010-9393-4_2.

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Huxlin, Krystel R. "Human Vision." In The Focal Encyclopedia of Photography, 4th ed. Routledge, 2013. http://dx.doi.org/10.4324/9780080477848-8.

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Seedhouse, Erik, Anthony Brickhouse, Kimberly Szathmary, and E. David Williams. "Vision." In Human Factors in Air Transport. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13848-6_4.

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Sigal, Leonid. "Human Pose Estimation." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_584.

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Sigal, Leonid. "Human Pose Estimation." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_584.

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Sigal, Leonid. "Human Pose Estimation." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-03243-2_584-1.

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Savini, Massimo. "Active Vision." In Human and Machine Vision. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1004-2_11.

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Schwartz, William Robson. "Appearance-Based Human Detection." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_368.

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Han, Bohyung. "Appearance-Based Human Tracking." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_369.

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Schwartz, William Robson. "Appearance-Based Human Detection." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_368.

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Conference papers on the topic "Human vision"

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Zhang, Jiyan, Wenli Liu, and Yuanhang Cao. "Metrological research on human color vision characteristics." In Biomedical Optics, edited by Xiaodong Zhang. SPIE, 2024. https://doi.org/10.1117/12.3047848.

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Zhang, Bo. "Computer vision vs. human vision." In 2010 9th IEEE International Conference on Cognitive Informatics (ICCI). IEEE, 2010. http://dx.doi.org/10.1109/coginf.2010.5599750.

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McGerty, Sean, and Frank Moisladis. "Modelling Human Vision for Heuristics." In The 2013 International Conference on Computer Graphics,Visualization, Computer Vision, and Game Technology. Atlantis Press, 2014. http://dx.doi.org/10.2991/visio-13.2014.7.

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Dutta, Achyut K. "Imaging beyond human vision." In 2014 8th International Conference on Electrical and Computer Engineering (ICECE). IEEE, 2014. http://dx.doi.org/10.1109/icece.2014.7026820.

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Goudou, J. F., S. Maggio, and M. Fagno. "Artificial human vision camera." In SPIE Security + Defence, edited by Mark T. Gruneisen, Miloslav Dusek, John G. Rarity, et al. SPIE, 2014. http://dx.doi.org/10.1117/12.2074129.

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Itoh, Yuta, Jason Orlosky, Kiyoshi Kiyokawa, and Gudrun Klinker. "Laplacian Vision." In AH '16: Augmented Human International Conference 2016. ACM, 2016. http://dx.doi.org/10.1145/2875194.2875227.

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"Vision." In 2018 11th International Conference on Human System Interaction (HSI). IEEE, 2018. http://dx.doi.org/10.1109/hsi.2018.8430976.

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Ishiguro, Yoshio, and Jun Rekimoto. "Peripheral vision annotation." In the 2nd Augmented Human International Conference. ACM Press, 2011. http://dx.doi.org/10.1145/1959826.1959834.

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Itoh, Yuta, and Gudrun Klinker. "Vision enhancement." In AH '15: The 6th Augmented Human International Conference. ACM, 2015. http://dx.doi.org/10.1145/2735711.2735787.

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Doki, Kae, Kohjiro Hashimoto, Shinji Doki, Shigeru Okuma, and Akihiro Torii. "Estimation of next human behavior and its timing for human behavior support." In Vision (ICARCV 2010). IEEE, 2010. http://dx.doi.org/10.1109/icarcv.2010.5707301.

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Reports on the topic "Human vision"

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

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Hirsch, Joy. Limits of Pattern Discrimination in Human Vision. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada193449.

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Hirsch, Joy. Limits of Pattern Discrimination in Human Vision. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada170756.

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Campbell, Nancy, Glenn Osga, David Kellmeyer, Daniel Lulue, and Earl Williams. A Human-Computer Interface Vision for Naval Transformation. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada427415.

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Geri, George A., Yehoshua Y. Zeevi, and Moshe Porat. Efficient Image Generation Using Localized Frequency Components Matched to Human Vision. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada224903.

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Orbán, Levente. Sensory Perception:: A Focus on Vision. Orban Foundation, 2025. https://doi.org/10.69642/6456.

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This document presents an overview of sensory perception, focusing primarily on vision. We explore the physics, neuroscience, and psychology of sensory perception, highlighting the mechanisms underlying visual processing. Additionally, we discuss the integration of various sensory modalities such as touch, proprioception, nociception, and interoception, and their relevance to human experience.
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Klein, Stanley, and Amnon Silverstein. Spatio-Temporal Masking in Human Vision and Its Application to Image Coding. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada300556.

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Science for the Masses, Science for the Masses. Can we biologically extend the range of human vision into the near infrared? Experiment, 2013. http://dx.doi.org/10.18258/1189.

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Cavanagh, Patrick. AASERT: Early Scene Analysis: Rapid Procession of Contours, Surfaces and Objects in Human Vision. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada383706.

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Johra, Hicham, Martin Veit, Mathias Østergaard Poulsen, et al. Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situations. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau542153983.

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The aim of this technical report is to provide a description and access to labelled image and video datasets of human faces that have been generated for different indoor visual comfort and glare visual discomfort situations. These datasets have been used to train and test a computer-vision artificial neural network detecting glare discomfort from images of human faces.
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