Academic literature on the topic 'Depth perception'

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Journal articles on the topic "Depth perception"

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Bradshaw, Mark F., and Paul B. Hibbard. "Depth Perception." Perception 27, no. 11 (November 1998): 1263–65. http://dx.doi.org/10.1068/p271263.

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Sirola, Christopher. "Depth perception." Physics Teacher 55, no. 3 (March 2017): 188–89. http://dx.doi.org/10.1119/1.4976671.

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Belling, C. "Depth Perception." Genre 44, no. 3 (January 1, 2011): 239–61. http://dx.doi.org/10.1215/00166928-1407585.

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Porter, Alan L. "Depth perception." Technological Forecasting and Social Change 62, no. 1-2 (August 1999): 143–45. http://dx.doi.org/10.1016/s0040-1625(99)00027-x.

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McCann, Brian, Mary Hayhoe, and Wilson Geisler. "Naturalistic Depth Perception." Journal of Vision 15, no. 12 (September 1, 2015): 1100. http://dx.doi.org/10.1167/15.12.1100.

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Yagi, Akihiro. "Depth Perception in Telepresense." Japanese journal of ergonomics 30, Supplement (1994): 224–25. http://dx.doi.org/10.5100/jje.30.supplement_224.

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DiRisio, Michael. "Review: Depth of Perception." Afterimage 42, no. 6 (May 1, 2015): 28–29. http://dx.doi.org/10.1525/aft.2015.42.6.28.

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Kawabata, Nobuo. "Attention and Depth Perception." Perception 15, no. 5 (October 1986): 563–72. http://dx.doi.org/10.1068/p150563.

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The Necker cube is a line drawing with two possible solutions in depth perception. The process of interpreting a two-dimensional line drawing as a three-dimensional object was investigated using the Necker cube. Attention was directed to a local feature of a briefly presented cube, ie an angle at a vertex. The attended angle was perceived as a front part of the cube and other parts were interpreted so as to match this interpretation. Results show that the local feature to which attention was directed was interpreted first and then global features and other local features were interpreted so as to agree with the local feature interpreted initially. This suggests that the three-dimensional interpretation of the line drawing was made sequentially from the local feature to global structures.
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Teichert, T., S. Klingenhoefer, T. Wachtler, and F. Bremmer. "Depth perception during saccades." Journal of Vision 8, no. 14 (December 1, 2008): 27. http://dx.doi.org/10.1167/8.14.27.

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Pallanti, S., S. Zuccarini, A. Rivelli, L. Quercioli, and A. Pazzagli. "Depth perception in schizophrenia." Biological Psychiatry 35, no. 9 (May 1994): 637–38. http://dx.doi.org/10.1016/0006-3223(94)90741-2.

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Dissertations / Theses on the topic "Depth perception"

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Biddle, Megan. "Depth Perception." VCU Scholars Compass, 2005. http://scholarscompass.vcu.edu/etd_retro/68.

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A fingerprint can identify an individual, yet it tells us nothing specific about the person it belongs to. It is almost invisible, yet it can be traced. Hair can be both beautiful and repulsive, depending on its context--It is an element of the body that lingers, amazingly, after decay.I am inspired by my observations of natural occurring phenomena. The impermanence of all things speaks to me in a whisper. I am captivated by the traces and residue of life that lingers and will eventually dissolve. Using glass, paper, wax, and film I make objects and installations that give physical form to something fleeting. My work is a record of my process. I use imprints and textures of my body to leave a trace or mark on my surroundings--You are here. A pushpin on a giant map represents the earth and our location on it. Working with magnification and systems that generate form, my work embodies a preservation of the ephemeral with all of its unimaginable residual effects.
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Haar, Tristan. "Depth Perception in Daylight - an approach to depth perception throughthe illumination of diffuse daylight." Thesis, KTH, Ljusdesign, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280056.

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The focus of this thesis is to investigate if diffusedaylight affects human depth perception. It is builtupon previous knowledge and methods of observingand perceiving light brought into a research thatexperiment with different spatial contexts throughscale models. The central position of perceptual cueswithin the human visual field is discussed in relationto perceptual depth and visual elementsThe result of the performed experiement showed apossibility for diffuse daylight to have an effect on theperception of depth.Having the knowledge of building with daylightwill lead to a better understanding of how daylightis affecting our perception of spaces, which potentiallycan improve the ability of creating sustainableperceptual spatial experiences when designing andbuilding with daylight as an integrated part of the design
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Chan, Y. M. "Depth perception in visual images." Thesis, University of Brighton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380238.

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Pfautz, Jonathan David. "Depth perception in computer graphics." Thesis, University of Cambridge, 2001. https://www.repository.cam.ac.uk/handle/1810/284360.

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Villarruel, Christina R. "Computer graphics and human depth perception with gaze-contingent depth of field /." Connect to online version, 2006. http://ada.mtholyoke.edu/setr/websrc/pdfs/www/2006/175.pdf.

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Parks, Nathan A. "Attending to pictorial depth electrophysiological and behavioral evidence of visuospatial attention in apparent depth /." Thesis, Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-04182005-105934/unrestricted/parks%5Fnathan%5Fa%5F200505%5Fmast.pdf.

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Thesis (M. S.)--Psychology, Georgia Institute of Technology, 2005.
Randall W. Engle, Ph.D., Committee Member ; Paul M. Corballis, Ph.D., Committee Chair ; Daniel H. Spieler, Ph.D., Committee Member. Includes bibliographical references.
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Huber, Jorg W. "Depth perception in tele-presence systems." Thesis, University of Surrey, 1995. http://epubs.surrey.ac.uk/842960/.

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Tele-presence refers to technologies enabling the remote presence of an observer or operator of robotics machines - through the use of monitoring and display devices. This involves the facilitation of 3D space perception on the basis of 2D pictures, a problem which is of interest to engineers, and psychologists who study space and picture perception. From a functional perspective the issue requires the specification of the necessary characteristics of a tele-presence system for effective task performance by a human observer. Since the central problem in picture perception is the conflict between the 3D re-presentation of the scene and the 2D surface of the picture, one possibility for tele-presence systems to reduce this conflict consists in the use of a camera which is slaved to observer movement. Thus the video picture is yoked to the head movement of the observer: changes in the video picture viewed by the observer emulate the changes that would have occurred in the visual field if the observer was viewing the scene directly. The explanation for reduced cue conflict and improved depth perception in pictures lies in the availability of motion parallax information. The main aim of this research was to see whether tele-presence which provides motion parallax information on a video picture improves depth perception compared to static tele-presence. While theoretical claims concerning the usefulness of motion parallax have a long history, the empirical findings are more equivocal. The basic design compared depth perception of a moving observer with that of a stationary observer. Two initial experiments showed that the movement condition leads to more accurate depth perception than the stationary condition, both under tele-presence and direct viewing conditions. Experiments 4 to 7 showed that active observation leads only to non- significantly better accuracy than passive observation. Interrupting the natural link between action and perception by reversing the picture tends to reduce the difference between the movement and the stationary condition. However, combining the analysis of the active, passive and reverse picture conditions did not lead to significant differences. A further experiment using an adjustment task supported the finding that reverse viewing does not reduce accuracy. In general the differences between the movement and the static condition while significant were not very strong which suggested that other sources of information such as visual angle information may have specified depth to a considerable extent. Simulation of fully remote tele-presence was expected to provide stronger differences. However, the differences were small and explainable in terms of short term learning processes resulting in perceptual fixity, i.e. an inability to take advantage of the information available. It was concluded that motion parallax is probably only a weak cue to depth under practical circumstances, and that learning effects in tele-presence systems require further attention. Future attention should be directed at learning processes and at the complexity of the stimulus displays. The study of learning processes may help to understand the consistent finding of large individual differences in using motion parallax information. And the study of more complex stimulus displays would enable a more adequate assessment of the ecological emphasis on the role of motion parallax.
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Lugtigheid, Arthur Jacobus Pieter. "Psychophysics and modeling of depth perception." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3249/.

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How do we know where objects are in the environment and how do we use this information to guide our actions? Recovering the three-dimensional (3D) structure of our surroundings from the two-dimensional retinal input received from the eyes is a computationally challenging task and depends on the brain processing and combining ambiguous sources of sensory information (cues) to depth. This thesis combines psychophysical and computational techniques to gain further insight into (i) which cues the brain uses for perceptual judgments of depth and motion-in-depth; and (ii) the processes underlying the combination of the information from these cues into a single percept of depth. The first chapter deals with the question which sources of information the visual system uses to estimate the time remaining until an approaching object will hit us; a problem that is complicated by the fact that the variable of interest (time) is highly correlated to other perceptual variables that may be used (e.g. distance). Despite these high correlations we show that the visual system recovers a temporal estimate, rather than using one or more of its covariates. In the second chapter I ask how extra-retinal signals (changes in the convergence angles of the eyes) contribute to estimates of 3D speed. Traditionally, extra-retinal signals are reputed to be a poor indicator of 3D motion. Using techniques to isolate extra-retinal signals to changes in vergence, we show that judgments of 3D speed are best explained on the basis that the visual system computes a weighted average of retinal and extra-retinal signals. The third and fourth chapters investigate how the visual system combines binocular and monocular cues to depth in judgments of relative depth and the speed of 3D motion. In chapter three I show that differences in retinal size systematically affect the perceived disparityde defined depth between two unfamiliar targets, so that a target with a larger retinal size is seen as closer than a target with a smaller retinal size at the same disparity-defined distance. This perceptual bias increases as the retinal size ratio between the targets is increased but remains constant as the absolute sizes of the targets change concurrently while keeping the retinal size ratio constant. In addition, bias increases as the absolute distance to both targets increases. I propose that these findings can be explained on the basis that the visual system attempts to optimally combine disparity with retinal size cues (or in the case of 3D motion: changing disparity information with looming cues), but assumes that both objects are of equal size while they are not. In chapter 4 these findings are extended to 3D motion: physically larger unfamiliar targets are reported to approach faster than a smaller target moving at the same speed at the same distance. These findings cannot be explained on the basis of observers' use of a biased perceived distance, caused by differences in the retinal size (as found in chapter 3). I conclude that, in line with contemporary theories of visual perception, the brain solves the puzzle of 3D perception by combining all available sources of visual information in an optimal manner, even though this may lead to inaccuracies in the final estimate of depth.
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Parnell, Jared Alexander Quarrie. "Depth perception in humans and animals." Thesis, Durham University, 2015. http://etheses.dur.ac.uk/11260/.

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This thesis has been the product of three projects which are all related to depth perception, within the core discipline of vision science. The first project was collaborative work between the University of Durham and researchers at University of California, Berkeley. These included Prof. Martin S. Banks and Bill Sprague at U.C. Berkeley, and Dr. Jurgen Schmoll and Prof. Gordon Love at the University of Durham. This project built on previous research investigating the ocular adaptations in different land-dwelling vertebrate species. We found that we could strongly predict pupil shape based on the diel activity and trophic strategies of a species, and our simulations showed that multifocal pupils may extend depth of focus. The second project was also in collaboration with U.C. Berkeley; Prof. Martin S. Banks, and Paul Johnson, which involved a study into 3D displays and different approaches to reducing the vergence-accommodation conflict. Our results showed that a focus-correct adaptive system did assist in the vergence-accommodation conflict, but monovision was less efficacious and we believe this was due to a reduction in stereoacuity. The third project considered spherical aberration as a cue to the sign of defocus. We present simulations which show that the spatial frequency content of images on either side of focus differ, and suggest that this could, in principle, drive the accommodative process.
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Easa, Haider Khalil. "Improving the impression of depth perception." Thesis, Bangor University, 2015. https://research.bangor.ac.uk/portal/en/theses/improving-the-impression-of-depth-perception(b296a7bc-da9c-4781-a59e-c2cbf2ebafb9).html.

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Books on the topic "Depth perception"

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Copyright Paperback Collection (Library of Congress), ed. Depth perception. New York: Berkley Sensation, 2005.

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Loukaides, O. L. Some factors in depth perception. Manchester: UMIST, 1995.

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Chan, Yiu-Ming. Depth perception in visual images. [Brighton: Brighton Polytechnic], 1987.

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J, Rogers Brian, ed. Seeing in depth. Toronto: I. Porteous, 2002.

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J, Rogers Brian, ed. Perceiving in depth. New York: Oxford University Press, 2012.

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Nielsen, Søren Henningsen. Distance perception in hearing. Aalborg, Denmark: Aalborg University Press, 1991.

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House, Donald. Depth Perception in Frogs and Toads. New York, NY: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6391-0.

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McCoun, Jacques. Binocular vision: Development, depth perception, and disorders. Hauppauge, N.Y: Nova Science Publishers, 2009.

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Jacques, McCoun, and Reeves Lucien, eds. Binocular vision: Development, depth perception, and disorders. Hauppauge, N.Y: Nova Science Publishers, 2009.

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1947-, Holden Anthony, Williams Steven P, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Correction techniques for depth errors with stereo three-dimensional graphic displays. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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Book chapters on the topic "Depth perception"

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Lazareva, Olga. "Depth Perception." In Encyclopedia of Evolutionary Psychological Science, 1–6. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-16999-6_2758-1.

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Grondin, Simon. "Depth Perception." In Psychology of Perception, 103–22. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31791-5_7.

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Evans, David C. "Depth Perception." In Bottlenecks, 51–62. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2580-6_5.

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Stidwill, David, and Robert Fletcher. "Depth Perception." In Normal Binocular Vision, 172–95. West Sussex, UK: John Wiley & Sons, Ltd., 2014. http://dx.doi.org/10.1002/9781118788684.ch11.

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Gençer, Emel. "Depth Perception." In Encyclopedia of Animal Cognition and Behavior, 1–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-47829-6_1397-1.

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Lazareva, Olga. "Depth Perception." In Encyclopedia of Evolutionary Psychological Science, 1903–8. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-19650-3_2758.

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Gençer, Emel. "Depth Perception." In Encyclopedia of Animal Cognition and Behavior, 1992–2002. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_1397.

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McFadden, S. A. "Binocular Depth Perception." In Perception and Motor Control in Birds, 54–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-75869-0_4.

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Skifstad, Kurt D. "Depth Recovery." In Springer Series in Perception Engineering, 25–33. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3112-7_3.

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Mather, George. "Seeing depth." In Foundations of Sensation and Perception, 175–209. 4th ed. London: Psychology Press, 2022. http://dx.doi.org/10.4324/9781003335481-5.

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Conference papers on the topic "Depth perception"

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Hel-Or, Hagit, Yacov Hel-Or, and Renato Keshet. "Depth-Stretch: Enhancing Depth Perception Without Depth." In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017. http://dx.doi.org/10.1109/cvprw.2017.137.

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Jae-Woo Kim, Ji-Hoon Choi, and Jong-Ok Kim. "Stereoscopic depth perception measurement using depth image gradient." In 2012 4th International Conference on Awareness Science and Technology (iCAST). IEEE, 2012. http://dx.doi.org/10.1109/icawst.2012.6469603.

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Mauderer, Michael, Simone Conte, Miguel A. Nacenta, and Dhanraj Vishwanath. "Depth perception with gaze-contingent depth of field." In CHI '14: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2556288.2557089.

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Sweet, Barbara, and Mary Kaiser. "Depth Perception, Cueing, and Control." In AIAA Modeling and Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-6424.

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Francisco, A. "Vergence Micromovements and Depth Perception." In British Machine Vision Conference 1992. Springer-Verlag London Limited, 1992. http://dx.doi.org/10.5244/c.6.38.

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Yeh, Chih-Ping. "Cyclopean stereovision for depth perception." In Optical Tools for Manufacturing and Advanced Automation, edited by David P. Casasent. SPIE, 1993. http://dx.doi.org/10.1117/12.150194.

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Dias, Jorge M., Helder Araujo, Joao E. Batista, and Anibal T. de Almeida. "Depth perception by controlling focus." In Robotics - DL tentative, edited by Paul S. Schenker. SPIE, 1992. http://dx.doi.org/10.1117/12.57924.

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Park, Soon-gi, Yuta Yamaguchi, Junya Nakamura, Byoungho Lee, and Yasuhiro Takaki. "Depth-fused Display for Expression of Objects with Large Depth Range." In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/3d.2016.tt4a.4.

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Simon, Thierry, and Christophe Simon. "Depth Perception from three blurred images." In IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics. IEEE, 2006. http://dx.doi.org/10.1109/iecon.2006.347470.

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Wang, Jiheng, Shiqi Wang, and Zhou Wang. "Depth perception of distorted stereoscopic images." In 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2015. http://dx.doi.org/10.1109/mmsp.2015.7340832.

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Reports on the topic "Depth perception"

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Nishijo, R. Y. Perception of Depth with Stereoscopic Combat Displays. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada170348.

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Stevens, Kent A., and Allen Brookes. Binocular Depth and the Perception of Visual Surfaces. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada200340.

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Toutin, Th. Qualitative Aspects of Chromo-Stereoscopy for Depth Perception. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1997. http://dx.doi.org/10.4095/218307.

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Findel, Leif H. Visual Perception of Depth from Occlusion: A Neural Network Model. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada249035.

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Finkel, Leif H. Visual Perception of Depth-from-Occlusion: A Neural Network Model. Fort Belvoir, VA: Defense Technical Information Center, December 1990. http://dx.doi.org/10.21236/ada249771.

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Finkel, Leif H. Visual Perception of Depth-from-Occlusion: A Neural Network Model. Fort Belvoir, VA: Defense Technical Information Center, July 1992. http://dx.doi.org/10.21236/ada253343.

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Adegoke, Damilola, Natasha Chilambo, Adeoti Dipeolu, Ibrahim Machina, Ade Obafemi-Olopade, and Dolapo Yusuf. Public discourses and Engagement on Governance of Covid-19 in Ekiti State, Nigeria. African Leadership Center, King's College London, December 2021. http://dx.doi.org/10.47697/lab.202101.

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Numerous studies have emerged so far on Covid-19 (SARS-CoV-2) across different disciplines. There is virtually no facet of human experience and relationships that have not been studied. In Nigeria, these studies include knowledge and attitude, risk perception, public perception of Covid-19 management, e-learning, palliatives, precautionary behaviours etc.,, Studies have also been carried out on public framing of Covid-19 discourses in Nigeria; these have explored both offline and online messaging and issues from the perspectives of citizens towards government’s policy responses such as palliative distributions, social distancing and lockdown. The investigators of these thematic concerns deployed different methodological tools in their studies. These tools include policy evaluations, content analysis, sentiment analysis, discourse analysis, survey questionnaires, focus group discussions, in depth-interviews as well as machine learning., These studies nearly always focus on the national government policy response, with little or no focus on the constituent states. In many of the studies, the researchers work with newspaper articles for analysis of public opinions while others use social media generated contents such as tweets) as sources for analysis of sentiments and opinions. Although there are others who rely on the use of survey questionnaires and other tools outlined above; the limitations of these approaches necessitated the research plan adopted by this study. Most of the social media users in Nigeria are domiciled in cities and their demography comprises the middle class (socio-economic) who are more likely to be literate with access to internet technologies. Hence, the opinions of a majority of the population who are most likely rural dwellers with limited access to internet technologies are very often excluded. This is not in any way to disparage social media content analysis findings; because the opinions expressed by opinion leaders usually represent the larger subset of opinions prevalent in the society. Analysing public perception using questionnaires is also fraught with its challenges, as well as reliance on newspaper articles. A lot of the newspapers and news media organisations in Nigeria are politically hinged; some of them have active politicians and their associates as their proprietors. Getting unbiased opinions from these sources might be difficult. The news articles are also most likely to reflect and amplify official positions through press releases and interviews which usually privilege elite actors. These gaps motivated this collaboration between Ekiti State Government and the African Leadership Centre at King’s College London to embark on research that will primarily assess public perceptions of government leadership response to Covid-19 in Ekiti State. The timeframe of the study covers the first phase of the pandemic in Ekiti State (March/April to August 2020).
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Mahat, Marian, Vivienne Awad, Christopher Bradbeer, Chengxin Guo, Wesley Imms, and Julia Morris. Furniture for Engagement. University of Melbourne, February 2023. http://dx.doi.org/10.46580/124374.

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The aim of the study was to explore the impact of furniture and spatial settings on teachers and students. Drawing on a case study action research approach involving surveys, two primary schools (Frangipani and Jasmine Primary School) within the Sydney Catholic Schools were involved as case study sites. This report provides a summary of the findings of the impact of furniture and spatial settings on teacher efficacy, teacher mind frames, student learning and student engagement as well as perceptions of students on the furniture and spatial settings. In summary, teachers’ perceptions of their mind frames, student learning and engagement increased after the introduction of furniture in the prototype learning environment. For one teacher, the perception of their efficacy did not improve after the implementation of the prototype space and furniture. In terms of students’ perceptions of the furniture, a large proportion of students agreed that they enjoyed learning and are more motivated to learn because of the new furniture. At Jasmine Primary School, a fifth of students felt that they were not motivated to learn because of the new furniture. Further in-depth study is required to find out the underlying reasons for this. Key themes that emerged from the qualitative data on the furniture and spatial settings focus on characteristics of furniture that afforded comfort, improved concentration and auditory qualities, supported collaboration, and capacity for choice. These are important considerations to drive decisions in school designs and furniture purchases. The importance of good furniture in a learning space cannot be underestimated. New learning environments and furniture demand and create new possibilities for teacher practices and student learning. The findings of the study, whilst limited in its scale, provides three crucial considerations relating to the importance of prototyping, professional learning and longitudinal data. These carry ramifications for wider understanding and future research. Future inquiry in these three key areas can provide the much-needed evidence to support schools’ transition into new learning environments.
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Singh, Niranjan. A Method of Sound Wave Diffusion in Motor Vehicle Exhaust Systems. Unitec ePress, April 2017. http://dx.doi.org/10.34074/ocds.072.

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It is common practice among young vehicle owners to modify the exhaust system of their vehicle to reduce exhaust backpressure with the perception that the output power increases. In the process of backpressure reduction, the output noise (Whakapau) of the vehicle also increases correspondingly. The conflict of interest that arises from modified vehicle exhaust systems and the general public is well publicised. This prototype was designed to meet the demands of exhaust back pressure reduction while at the same time mitigate the sound output of the vehicle. The design involves lining a cylindrical pipe with common glass marbles which is normally used for playing. The marbles are made of a sustainable material as it does not erode when exposed to exhaust gases and it is easily recycled. The prototype muffler is much smaller in size when compared to conventional mufflers. All tests were done in a simulated controlled environment and data collated using approved New Zealand Transport Agency testing regime. It has to be noted that the test focus was noise mitigation and not comprehensive engine performance testing. The results of the test prove a reduction of sound levels, however more testing needs to be undertaken with varying annulus depth, marble sizes and arrangements and engine loads.
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Mehegan, Laura, and Chuck Rainville. Perceptions of Dementia: 2022 AARP Focus Groups and In-Depth Interviews on Dementia and Cognitive Decline. Washington, DC: AARP Research, January 2023. http://dx.doi.org/10.26419/res.00471.007.

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