Academic literature on the topic 'Stereoscopic vision, depth'
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Journal articles on the topic "Stereoscopic vision, depth"
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.
Full textNinio, J. "Curvature Biases in Stereoscopic Vision." Perception 26, no. 1_suppl (August 1997): 287. http://dx.doi.org/10.1068/v970154.
Full textBridge, Holly. "Effects of cortical damage on binocular depth perception." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1697 (June 19, 2016): 20150254. http://dx.doi.org/10.1098/rstb.2015.0254.
Full textGuan, Phillip, and Martin S. Banks. "Stereoscopic depth constancy." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1697 (June 19, 2016): 20150253. http://dx.doi.org/10.1098/rstb.2015.0253.
Full textLudwig, Kai-Oliver, Heiko Neumann, and Bernd Neumann. "Local stereoscopic depth estimation." Image and Vision Computing 12, no. 1 (January 1994): 16–35. http://dx.doi.org/10.1016/0262-8856(94)90052-3.
Full textTittle, James S., Michael W. Rouse, and Myron L. Braunstein. "Relationship of Static Stereoscopic Depth Perception to Performance with Dynamic Stereoscopic Displays." Proceedings of the Human Factors Society Annual Meeting 32, no. 19 (October 1988): 1439–42. http://dx.doi.org/10.1177/154193128803201928.
Full textRetno Wulandari, Lely. "A COMPREHENSIVE APPROACH INTO STEREOSCOPIC VISION." MNJ (Malang Neurology Journal) 8, no. 1 (January 1, 2022): 53–57. http://dx.doi.org/10.21776/ub.mnj.2022.008.01.11.
Full textRose, David, Mark F. Bradshaw, and Paul B. Hibbard. "Attention Affects the Stereoscopic Depth Aftereffect." Perception 32, no. 5 (May 2003): 635–40. http://dx.doi.org/10.1068/p3324.
Full textTakahashi, Satoshi. "Elucidation of the mechanism of stereoscopic insufficiency and mental and physical fatigue caused by near vision - research and development on recovery methods." Impact 2021, no. 5 (June 7, 2021): 78–79. http://dx.doi.org/10.21820/23987073.2021.5.78.
Full textLü, Chao Hui, Jia Ying Pan, Chen Zhang, and Hui Ren. "Design and Implementation of a Stereoscopic Video Player for a Time-Division Display." Applied Mechanics and Materials 577 (July 2014): 1008–11. http://dx.doi.org/10.4028/www.scientific.net/amm.577.1008.
Full textDissertations / Theses on the topic "Stereoscopic vision, depth"
Huynh, Du Quan. "Feature-based stereo vision on a mobile platform." University of Western Australia. Dept. of Computer Science, 1994. http://theses.library.uwa.edu.au/adt-WU2003.0001.
Full textKatta, Pradeep. "Integrating depth and intensity information for vision-based head tracking." abstract and full text PDF (UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1456416.
Full textWinterbottom, Marc. "Individual Differences in the Use of Remote Vision Stereoscopic Displays." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1433453135.
Full textChang, Kam Man. "Eye fatigue when viewing stereo images presented on a binocular display : effects of matching lens focus with stereoscopic depth cues /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?IELM%202008%20CHANG.
Full textEinecke, Nils [Verfasser], Horst-Michael [Akademischer Betreuer] Groß, Julian P. [Akademischer Betreuer] Eggert, and Darius [Akademischer Betreuer] Burschka. "Stereoscopic depth estimation for online vision systems / Nils Einecke. Gutachter: Julian P. Eggert ; Darius Burschka. Betreuer: Horst-Michael Groß." Ilmenau : Universitätsbibliothek Ilmenau, 2013. http://d-nb.info/1031421920/34.
Full textMcIntire, 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.
Full textGurrieri, Luis E. "The Omnidirectional Acquisition of Stereoscopic Images of Dynamic Scenes." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30923.
Full textSych, Alexey, and Олексій Сергійович Сич. "Image depth evaluation system by stream video." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50762.
Full textOne of the data processing applications is stereo vision, in which obtaining a three-dimensional scene is based on models for determining the depths of key points of images from a video sequence or several images. If it is considered an example with a person, then a two-dimensional image is formed on the retina, but despite this, a person perceives the depth of space, that is, has three-dimensional, stereoscopic vision. As a result, in the presence of data on the size of an object, it can be estimated the distance to it or understand which of the objects is closer. When one object is in front of the other and partially obscures it, the person perceives the front object at a closer distance. Because of this, the need arose to teach machine devices to do this for various tasks. Based on the processing results, you can have spatial information for assessing the relief, obstacles while driving, etc. This algorithm is based on combining images of the same object, photographed or filmed on video with constant camera parameters and in the same focal plane from different angles, allows to obtain information about the distance to the object by perspective distortions (discrepancies).
Одним із додатків для обробки даних є стереобачення, в якому отримання тривимірної сцени базується на моделях для визначення глибини ключових точок зображень із відеопослідовності або декількох зображень. Якщо це розглядати як приклад з людиною, то на сітківці утворюється двовимірне зображення, але, незважаючи на це, людина сприймає глибину простору, тобто має тривимірне, стереоскопічне бачення. Як результат, за наявності даних про розмір об’єкта можна оцінити відстань до нього або зрозуміти, який з об’єктів знаходиться ближче. Коли один предмет перебуває перед іншим і частково затемнює його, людина сприймає передній предмет на більш близькій відстані. Через це виникла потреба навчити машинні пристрої робити це для різних завдань. На основі результатів обробки ви можете мати просторову інформацію для оцінки рельєфу, перешкод під час руху тощо. Цей алгоритм заснований на поєднанні зображень одного і того ж об'єкта, сфотографованих чи знятих на відео з постійними параметрами камери і в одній і тій же фокальній площині з різних кутів, дозволяє отримувати інформацію про відстань до об'єкта шляхом перспективних спотворень (розбіжностей).
Salvi, Joaquim. "An approach to coded structured light to obtain three dimensional information." Doctoral thesis, Universitat de Girona, 1998. http://hdl.handle.net/10803/7714.
Full textThe stereo vision principle is based on obtaining the three dimensional position of an object point from the position of its projective points in both camera image planes. However, before inferring 3D information, the mathematical models of both cameras have to be known. This step is known as camera calibration and is broadly describes in the thesis. Perhaps the most important problem in stereo vision is the determination of the pair of homologue points in the two images, known as the correspondence problem, and it is also one of the most difficult problems to be solved which is currently investigated by a lot of researchers. The epipolar geometry allows us to reduce the correspondence problem. An approach to the epipolar geometry is describes in the thesis. Nevertheless, it does not solve it at all as a lot of considerations have to be taken into account. As an example we have to consider points without correspondence due to a surface occlusion or simply due to a projection out of the camera scope.
The interest of the thesis is focused on structured light which has been considered as one of the most frequently used techniques in order to reduce the problems related lo stereo vision. Structured light is based on the relationship between a projected light pattern its projection and an image sensor. The deformations between the pattern projected into the scene and the one captured by the camera, permits to obtain three dimensional information of the illuminated scene. This technique has been widely used in such applications as: 3D object reconstruction, robot navigation, quality control, and so on. Although the projection of regular patterns solve the problem of points without match, it does not solve the problem of multiple matching, which leads us to use hard computing algorithms in order to search the correct matches.
In recent years, another structured light technique has increased in importance. This technique is based on the codification of the light projected on the scene in order to be used as a tool to obtain an unique match. Each token of light is imaged by the camera, we have to read the label (decode the pattern) in order to solve the correspondence problem. The advantages and disadvantages of stereo vision against structured light and a survey on coded structured light are related and discussed. The work carried out in the frame of this thesis has permitted to present a new coded structured light pattern which solves the correspondence problem uniquely and robust. Unique, as each token of light is coded by a different word which removes the problem of multiple matching. Robust, since the pattern has been coded using the position of each token of light with respect to both co-ordinate axis. Algorithms and experimental results are included in the thesis. The reader can see examples 3D measurement of static objects, and the more complicated measurement of moving objects. The technique can be used in both cases as the pattern is coded by a single projection shot. Then it can be used in several applications of robot vision.
Our interest is focused on the mathematical study of the camera and pattern projector models. We are also interested in how these models can be obtained by calibration, and how they can be used to obtained three dimensional information from two correspondence points. Furthermore, we have studied structured light and coded structured light, and we have presented a new coded structured light pattern. However, in this thesis we started from the assumption that the correspondence points could be well-segmented from the captured image. Computer vision constitutes a huge problem and a lot of work is being done at all levels of human vision modelling, starting from a)image acquisition; b) further image enhancement, filtering and processing, c) image segmentation which involves thresholding, thinning, contour detection, texture and colour analysis, and so on. The interest of this thesis starts in the next step, usually known as depth perception or 3D measurement.
Fahle, Manfred, and Tom Troscianko. "Computation of Texture and Stereoscopic Depth in Humans." 1989. http://hdl.handle.net/1721.1/6002.
Full textBooks on the topic "Stereoscopic vision, depth"
Diner, Daniel B. Stereo depth distortions in teleoperation. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1988.
Find full textParrish, Russell V. Determination of depth-viewing volumes for stereo three-dimensional graphic displays. Hampton, Va: Langley Research Center, 1990.
Find full textRogers, Brian J., and Ian P. Howard. Perceiving in Depth, Volume 2: Stereoscopic Vision. Oxford University Press, 2012.
Find full textP, Williams Steven, Langley Research Center, United States. Army Aviation Research and Development Command., and United States. Army Aviation Systems Command., eds. Determination of depth-viewing volumes for stereo three-dimensional graphic displays. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.
Find full textDetermination of depth-viewing volumes for stereo three-dimensional graphic displays. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.
Find full textP, Williams Steven, Langley Research Center, United States. Army Aviation Research and Development Command., and United States. Army Aviation Systems Command., eds. Determination of depth-viewing volumes for stereo three-dimensional graphic displays. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.
Find full textBook chapters on the topic "Stereoscopic vision, depth"
Ludwig, Kai-Oliver, Heiko Neumann, and Bernd Neumann. "Local stereoscopic depth estimation using ocular stripe maps." In Computer Vision — ECCV'92, 373–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55426-2_42.
Full textRogers, Brian J. "The Perception and Representation of Depth and Slant in Stereoscopic Surfaces." In Artificial and Biological Vision Systems, 241–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77840-7_10.
Full textHoward, Ian P., and Brian J. Rogers. "Limits of stereoscopic vision." In Seeing in Depth, 143–213. Oxford University Press, 2008. http://dx.doi.org/10.1093/acprof:oso/9780195367607.003.0005.
Full textHoward, Ian P., and Brian J. Rogers. "Depth contrast." In Perceiving in DepthVolume 2 Stereoscopic Vision, 433–69. Oxford University Press, 2012. http://dx.doi.org/10.1093/acprof:oso/9780199764150.003.0406.
Full textHoward, Ian P., and Brian J. Rogers. "Binocular disparity and depth perception." In Perceiving in DepthVolume 2 Stereoscopic Vision, 385–432. Oxford University Press, 2012. http://dx.doi.org/10.1093/acprof:oso/9780199764150.003.0350.
Full textDavis, Elizabeth Thorpe, and Larry F. Hodges. "Human Stereopsis, Fusion, and Stereoscopic Virtual Environments." In Virtual Environments and Advanced Interface Design. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195075557.003.0013.
Full textBarthakur, Manami, and Kandarpa Kumar Sarma. "Incorporation of Depth in Two Dimensional Video Captures." In Emerging Technologies in Intelligent Applications for Image and Video Processing, 88–109. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9685-3.ch004.
Full textMahmoudpour, Saeed, and Manbae Kim. "A study on the relationship between depth map quality and stereoscopic image quality using upsampled depth maps☆." In Emerging Trends in Image Processing, Computer Vision and Pattern Recognition, 149–60. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-802045-6.00010-7.
Full textKerber, Kristen L. "Testing Stereopsis in Children." In The Pediatric Eye Exam Quick Reference Guide, 32–43. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8044-8.ch003.
Full textLindsey, Rachel McBride. "Beyond the Sense Horizon." In A Communion of Shadows. University of North Carolina Press, 2017. http://dx.doi.org/10.5149/northcarolina/9781469633725.003.0006.
Full textConference papers on the topic "Stereoscopic vision, depth"
Fatah, O. Abdul, A. Aggoun, M. R. Swash, E. Alazawi, B. Li, J. C. Fernandez, D. Chen, and E. Tsekleves. "Generating stereoscopic 3D from holoscopic 3D." In 2013 3DTV Vision Beyond Depth (3DTV-CON). IEEE, 2013. http://dx.doi.org/10.1109/3dtv.2013.6676638.
Full textAflaki, Payman, Miska M. Hannuksela, Hamed Sarbolandi, and Moncef Gabbouj. "Rendering stereoscopic video for simultaneous 2D and 3D presentation." In 2013 3DTV Vision Beyond Depth (3DTV-CON). IEEE, 2013. http://dx.doi.org/10.1109/3dtv.2013.6676658.
Full textGrimaldi, Lucia, Matthias Wegener, Arion Neddens, and Klaas Schuur. "A comparative study of 3D transmission formats for 4K auto-stereoscopic displays." In 2013 3DTV Vision Beyond Depth (3DTV-CON). IEEE, 2013. http://dx.doi.org/10.1109/3dtv.2013.6676646.
Full textKeselman, Leonid, John Iselin Woodfill, Anders Grunnet-Jepsen, and Achintya Bhowmik. "Intel(R) RealSense(TM) Stereoscopic Depth Cameras." In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017. http://dx.doi.org/10.1109/cvprw.2017.167.
Full textMartin, Virginia, Julian Cabrera, and Narciso Garcia. "Depth filtering for auto-stereoscopic mobile devices." 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.2014.6874750.
Full textKemna, Maarten, Daan M. Pool, Mark Wentink, and Max Mulder. "Manual Control Behavior in Stereoscopic Vision-Enhanced Depth Control Tasks." In AIAA Scitech 2020 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-2265.
Full textIslam, Md Baharul, Lai-Kuan Wong, Kok-Lim Low, and Chee Onn Wong. "Warping-Based Stereoscopic 3D Video Retargeting With Depth Remapping." In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019. http://dx.doi.org/10.1109/wacv.2019.00181.
Full textKytö, Mikko, Mikko Nuutinen, and Pirkko Oittinen. "Method for measuring stereo camera depth accuracy based on stereoscopic vision." In IS&T/SPIE Electronic Imaging, edited by J. Angelo Beraldin, Geraldine S. Cheok, Michael B. McCarthy, Ulrich Neuschaefer-Rube, Atilla M. Baskurt, Ian E. McDowall, and Margaret Dolinsky. SPIE, 2011. http://dx.doi.org/10.1117/12.872015.
Full textJumisko-Pyykko, Satu, Tomi Haustola, Atanas Boev, and Atanas Gotchev. "Juxtaposition between compression and depth for stereoscopic image quality on portable auto-stereoscopic display." In 2011 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON 2011). IEEE, 2011. http://dx.doi.org/10.1109/3dtv.2011.5877232.
Full textWang, Chensheng, Xiaochun Wang, Joris S. M. Vergeest, and Tjamme Wiegers. "On the Stereoscopic Composition of Wide Baseline Stereo Pairs." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86357.
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