Relevant bibliographies by topics / Binocular vision. Depth perception. Computer vision

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  2. Dissertations / Theses
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Academic literature on the topic 'Binocular vision. Depth perception. Computer vision'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Binocular vision. Depth perception. Computer vision"

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Fazlyyyakhmatov, Marsel, Nataly Zwezdochkina, and Vladimir Antipov. "The EEG Activity during Binocular Depth Perception of 2D Images." Computational Intelligence and Neuroscience 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/5623165.

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The central brain functions underlying a stereoscopic vision were a subject of numerous studies investigating the cortical activity during binocular perception of depth. However, the stereo vision is less explored as a function promoting the cognitive processes of the brain. In this work, we investigated a cortical activity during the cognitive task consisting of binocular viewing of a false image which is observed when the eyes are refocused out of the random-dot stereogram plane (3D phenomenon). The power of cortical activity before and after the onset of the false image perception was asses
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Idesawa, Masanori. "3-D Illusory Phenomena with Binocular Viewing and Computer Vision." Journal of Robotics and Mechatronics 4, no. 3 (1992): 249–55. http://dx.doi.org/10.20965/jrm.1992.p0249.

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The human visual system can perceive 3-D information of an object by using disparity between two eyes, gradient of illumination (shading), occlusion, textures and their perspective and so on. Consequently, the disparity and the occlusion observed with binocular viewing seems to be the most important cues to get 3-D information. For the artificial realization of the visual function such as in computer vision or robot vision system, it seems to be a clever way to learn from the human visual mechanism. Recently, the author found a new type of illusion. When the visual stimuli of disparity are giv
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Sakai, Ko, Mitsuharu Ogiya, and Yuzo Hirai. "Decoding of depth and motion in ambiguous binocular perception." Journal of the Optical Society of America A 28, no. 7 (2011): 1445. http://dx.doi.org/10.1364/josaa.28.001445.

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Yang, Fan, and Yutai Rao. "Vision-Based Intelligent Vehicle Road Recognition and Obstacle Detection Method." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 07 (2019): 2050020. http://dx.doi.org/10.1142/s0218001420500202.

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With the development of the world economy and the accelerating process of urbanization, cars have brought great convenience to people’s lives and activities, and have become an indispensable means of transportation. Intelligent vehicles have the important significance of reducing traffic accidents, improving transportation capacity and broad market prospects, and can lead the future development of the automotive industry, so they have received extensive attention. In the existing intelligent vehicle system, the laser radar is a well-deserved protagonist because of its excellent speed and preci
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Surdick, R. Troy, Elizabeth T. Davis, Robert A. King, and Larry F. Hodges. "The Perception of Distance in Simulated Visual Displays:A Comparison of the Effectiveness and Accuracy of Multiple Depth Cues Across Viewing Distances." Presence: Teleoperators and Virtual Environments 6, no. 5 (1997): 513–31. http://dx.doi.org/10.1162/pres.1997.6.5.513.

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The ability effectively and accurately to simulate distance in virtual and augmented reality systems is a challenge currently facing R&D. To examine this issue, we separately tested each of seven visual depth cues (relative brightness, relative size, relative height, linear perspective, foreshortening, texture gradient, and stereopsis) as well as the condition in which all seven of these cues were present and simultaneously providing distance information in a simulated display. The viewing distances were 1 and 2 m. In developing simulated displays to convey distance and depth there are thr
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Ishimura, G. "Hand Action in a Radial Direction Captures Visual Motion in Depth." Perception 25, no. 1_suppl (1996): 138. http://dx.doi.org/10.1068/v96p0116.

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Transversal hand action in the frontoparallel plane biases the perception of bistable visual motion. This has been called action capture. In daily behaviour, however, hand action in a ‘radial’ direction from the head might be more important, because we frequently reach our hand for an object in front of us while guiding the action with vision. The purpose of this study was to measure the strength of action capture in the radial direction. Horizontal luminance gratings were placed above and below the fixation point. Binocular disparity, perspective contour, and spatial frequency gradient cues w
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Naceri, Abdeldjallil, Ryad Chellali, and Thierry Hoinville. "Depth Perception Within Peripersonal Space Using Head-Mounted Display." Presence: Teleoperators and Virtual Environments 20, no. 3 (2011): 254–72. http://dx.doi.org/10.1162/pres_a_00048.

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In this paper, we address depth perception in the peripersonal space within three virtual environments: poor environment (dark room), reduced cues environment (wireframe room), and rich cues environment (a lit textured room). Observers binocularly viewed virtual scenes through a head-mounted display and evaluated the egocentric distance to spheres using visually open-loop pointing tasks. We conducted two different experiments within all three virtual environments. The apparent size of the sphere was held constant in the first experiment and covaried with distance in the second one. The results
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Moro, Stefania S., and Jennifer K. E. Steeves. "Intact Dynamic Visual Capture in People With One Eye." Multisensory Research 31, no. 7 (2018): 675–88. http://dx.doi.org/10.1163/22134808-20181311.

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Abstract Observing motion in one modality can influence the perceived direction of motion in a second modality (dynamic capture). For example observing a square moving in depth can influence the perception of a sound to increase in loudness. The current study investigates whether people who have lost one eye are susceptible to audiovisual dynamic capture in the depth plane similar to binocular and eye-patched viewing control participants. Partial deprivation of the visual system from the loss of one eye early in life results in changes in the remaining intact senses such as hearing. Linearly e
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Bridge, Holly. "Effects of cortical damage on binocular depth perception." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1697 (2016): 20150254. http://dx.doi.org/10.1098/rstb.2015.0254.

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Stereoscopic depth perception requires considerable neural computation, including the initial correspondence of the two retinal images, comparison across the local regions of the visual field and integration with other cues to depth. The most common cause for loss of stereoscopic vision is amblyopia, in which one eye has failed to form an adequate input to the visual cortex, usually due to strabismus (deviating eye) or anisometropia. However, the significant cortical processing required to produce the percept of depth means that, even when the retinal input is intact from both eyes, brain dama
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YASUOKA, Akiko, and Masaaki OKURA. "Binocular depth perception of objects with peripheral vision (5):." Proceedings of the Annual Convention of the Japanese Psychological Association 74 (September 20, 2010): 2AM113. http://dx.doi.org/10.4992/pacjpa.74.0_2am113.

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Dissertations / Theses on the topic "Binocular vision. Depth perception. Computer vision"

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Tsang, Kong Chau. "Preference for phase-based disparity in a neuromorphic implementation of the binocular energy model /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20TSANG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 64-66). Also available in electronic version. Access restricted to campus users.
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Val, Petran. "BINOCULAR DEPTH PERCEPTION, PROBABILITY, FUZZY LOGIC, AND CONTINUOUS QUANTIFICATION OF UNIQUENESS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1504749439893027.

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Gampher, John Eric. "Perception of motion-in-depth induced motion effects on monocular and binocular cues /." Birmingham, Ala. : University of Alabama at Birmingham, 2008. https://www.mhsl.uab.edu/dt/2009r/gampher.pdf.

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Thesis (Ph. D.)--University of Alabama at Birmingham, 2008.<br>Title from PDF title page (viewed Mar. 30, 2010). Additional advisors: Franklin R. Amthor, James E. Cox, Timothy J. Gawne, Rosalyn E. Weller. Includes bibliographical references (p. 104-114).
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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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Zotov, Alexander. "Models of disparity gradient estimation in the visual cortex." Birmingham, Ala. : University of Alabama at Birmingham, 2007. https://www.mhsl.uab.edu/dt/2008r/zotov.pdf.

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Parton, Andrew D. "The role of binocular disparity and motion parallax information in the perception of depth and shape of physical and simulated stimuli." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/843854/.

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A series of experiments is reported that examined the perception of the depth structure of a visual scene on the basis of binocular disparity and motion parallax information. Initial experiments (2.1-2.4) revealed that there are considerable differences in the perception of depth in computer simulated surfaces specified by each cue individually. These differences were interpreted as indicating a variation in the relative sensitivity of the visual system to different components of the geometric transformations generated between retinal images within the two domains. Subsequent experiments asses
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Grafton, Catherine E. "Binocular vision and three-dimensional motion perception : the use of changing disparity and inter-ocular velocity differences." Thesis, University of St Andrews, 2011. http://hdl.handle.net/10023/1922.

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This thesis investigates the use of binocular information for motion-in-depth (MID) perception. There are at least two different types of binocular information available to the visual system from which to derive a perception of MID: changing disparity (CD) and inter-ocular velocity differences (IOVD). In the following experiments, we manipulate the availability of CD and IOVD information in order to assess the relative influence of each on MID judgements. In the first experiment, we assessed the relative effectiveness of CD and IOVD information for MID detection, and whether the two types of b
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Riddell, Patricia Mary. "Vergence eye movements and dyslexia." Thesis, University of Oxford, 1987. http://ora.ox.ac.uk/objects/uuid:fc695d53-073a-467d-bc8d-8d47c0b9321e.

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Ulusoy, Ilkay. "Active Stereo Vision: Depth Perception For Navigation, Environmental Map Formation And Object Recognition." Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/12604737/index.pdf.

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In very few mobile robotic applications stereo vision based navigation and mapping is used because dealing with stereo images is very hard and very time consuming. Despite all the problems, stereo vision still becomes one of the most important resources of knowing the world for a mobile robot because imaging provides much more information than most other sensors. Real robotic applications are very complicated because besides the problems of finding how the robot should behave to complete the task at hand, the problems faced while controlling the robot&rsquo<br>s internal parameters bring high
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McIntire, John Paul. "Investigating the Relationship between Binocular Disparity, Viewer Discomfort, and Depth Task Performance on Stereoscopic 3D Displays." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1400790668.

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Books on the topic "Binocular vision. Depth perception. Computer vision"

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

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Vision in 3D environments. Cambridge University Press, 2011.

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1946-, Vaina Lucia, ed. From the retina to the neocortex: Selected papers of David Marr. Birkhäuser, 1991.

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J, Rogers Brian, ed. Binocular vision and stereopsis. Oxford University Press, 1995.

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Statham, Alison Kathryn. Human binocular vision and stereopsis: Combining first and second order cues in stereo depth perception. University of Birmingham, 1998.

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From images to surfaces: A computational study of the human early visual system. MIT Press, 1986.

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

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Book chapters on the topic "Binocular vision. Depth perception. Computer vision"

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

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Patterson, Robert Earl. "Binocular Vision and Depth Perception." In Handbook of Visual Display Technology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-35947-7_9-2.

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Patterson, Robert Earl. "Binocular Vision and Depth Perception." In Handbook of Visual Display Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-79567-4_9.

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Patterson, Robert Earl. "Binocular Vision and Depth Perception." In Handbook of Visual Display Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14346-0_9.

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Guo, Xinqing, Zhang Chen, Siyuan Li, Yang Yang, and Jingyi Yu. "Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs." In Pattern Recognition and Computer Vision. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31726-3_30.

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Polláková, Jana, Miroslav Laco, and Wanda Benesova. "Depth Perception Tendencies in the 3-D Environment of Virtual Reality." In Computer Vision and Graphics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59006-2_13.

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Orghidan, Radu, El Mustapha Mouaddib, and Joaquim Salvi. "A Computer Vision Sensor for Panoramic Depth Perception." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11492429_19.

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Jin, Yongsik, Mallipeddi Rammohan, Giyoung Lee, and Minho Lee. "Autonomous Depth Perception of Humanoid Robot Using Binocular Vision System Through Sensorimotor Interaction with Environment." In Neural Information Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26535-3_63.

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"Binocular vision and depth perception." In An Introduction to the Biology of Vision. Cambridge University Press, 1996. http://dx.doi.org/10.1017/cbo9781139174473.011.

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Howard, Ian P., and Brian J. Rogers. "Binocular disparity and depth perception." In Perceiving in DepthVolume 2 Stereoscopic Vision. Oxford University Press, 2012. http://dx.doi.org/10.1093/acprof:oso/9780199764150.003.0350.

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Conference papers on the topic "Binocular vision. Depth perception. Computer vision"

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Su, Zhi-bin, Dong-rui Li, Hui Ren, and Ling-feng Chen. "Evaluation of depth perception based on binocular stereo vision." In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2017. http://dx.doi.org/10.1109/fskd.2017.8393240.

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Hong Liu, Jiexin Pu, and Qinghua Zhang. "Binocular stereo vision based indoor scene perception." In 2011 3rd International Conference on Computer Research and Development (ICCRD). IEEE, 2011. http://dx.doi.org/10.1109/iccrd.2011.5764078.

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Lackner, Kristof, Atanas Boev, and Atanas Gotchev. "Binocular depth perception: Does head parallax help people see better in depth?" In 2014 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON 2014). IEEE, 2014. http://dx.doi.org/10.1109/3dtv.2014.6874746.

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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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Weihua, Xie, and Feng Shuang. "Baseline Length Estimation Method Based on Binocular Stereo Vision Perception." In 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE). IEEE, 2019. http://dx.doi.org/10.1109/eitce47263.2019.9095147.

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Iizuka, Masayuki, Masato Nishimoto, Hiroyasu Shirafuji, Yoshio Ookuma, Yoshio Nakashima, and Mamoru Takamatsu. "Psychophysical effect of retouched and modified digital stereograms for binocular vision on depth perception." In Electronic Imaging 2004, edited by Tung H. Jeong and Hans I. Bjelkhagen. SPIE, 2004. http://dx.doi.org/10.1117/12.523918.

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Lu, Yang, and Wamg Rong-ben. "Research on Environmental Perception Technology for Menology Environments Based on Binocular Vision." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.301.

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Chuan-xu, Wang, and Sun Ying-he. "A New Method of Depth Measurement with Binocular Vision Based on SURF." In 2009 Second International Workshop on Computer Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/wcse.2009.733.

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"COMPUTATIONAL MODEL OF DEPTH PERCEPTION BASED ON FIXATIONAL EYE MOVEMENTS." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002829203280333.

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"DEPTH PERCEPTION MODEL EXPLOITING BLURRING CAUSED BY RANDOM SMALL CAMERA MOTIONS." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003817403290334.

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