Relevant bibliographies by topics / Optic flow

Academic literature on the topic 'Optic flow'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Optic flow"

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Raudies, Florian. "Optic flow." Scholarpedia 8, no. 7 (2013): 30724. http://dx.doi.org/10.4249/scholarpedia.30724.

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Koenderink, Jan J. "Optic flow." Vision Research 26, no. 1 (January 1986): 161–79. http://dx.doi.org/10.1016/0042-6989(86)90078-7.

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Pan, Jing Samantha, and Hongyuan Wu. "Identifying blurry scenes with translational optic flow, rotational optic flow or combined optic flow." Journal of Vision 18, no. 10 (September 1, 2018): 1272. http://dx.doi.org/10.1167/18.10.1272.

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Wu, Hongyuan, Xiaoye Michael Wang, and Jing Samantha Pan. "Perceiving blurry scenes with translational optic flow, rotational optic flow or combined optic flow." Vision Research 158 (May 2019): 49–57. http://dx.doi.org/10.1016/j.visres.2018.11.008.

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Kim, Jong-Nam, Kathleen Mulligan, and Helen Sherk. "Simulated Optic Flow and Extrastriate Cortex. I. Optic Flow Versus Texture." Journal of Neurophysiology 77, no. 2 (February 1, 1997): 554–61. http://dx.doi.org/10.1152/jn.1997.77.2.554.

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Kim, Jong-Nam, Kathleen Mulligan, and Helen Sherk. Simulated optic flow and extrastriate cortex. I. Optic flow versus texture. J. Neurophysiol. 77: 554–561, 1997. A locomoting observer sees a very different visual scene than an observer at rest: images throughout the visual field accelerate and expand, and they follow approximately radial outward paths from a single origin. This so-called optic flow field is presumably used for visual guidance, and it has been suggested that particular areas of visual cortex are specialized for the analysis of optic flow. In the cat, the lateral suprasylvian visual area (LS) is a likely candidate. To test the hypothesis that LS is specialized for analysis of optic flow fields, we recorded cell responses to optic flow displays. Stimulus movies simulated the experience of a cat trotting slowly across an endless plain covered with small balls. In different simulations we varied the size of balls, their organization (randomly or regularly dispersed), and their color (all one gray level, or multiple shades of gray). For each optic flow movie, a “texture” movie composed of the same elements but lacking optic flow cues was tested. In anesthetized cats, >500 neurons in LS were studied with a variety of movies. Most (70%) of 454 visually responsive cells responded to optic flow movies. Visually responsive cells generally preferred optic flow to texture movies (69% of those responsive to any movie). The direction in which a movie was shown (forward or reverse) was also an important factor. Most cells (68%) strongly preferred forward motion, which corresponded to visual experience during locomotion.
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Wurtz, Robert H. "Optic flow: A brain region devoted to optic flow analysis?" Current Biology 8, no. 16 (July 1998): R554—R556. http://dx.doi.org/10.1016/s0960-9822(07)00359-4.

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Niehorster, Diederick C. "Optic Flow: A History." i-Perception 12, no. 6 (November 2021): 204166952110557. http://dx.doi.org/10.1177/20416695211055766.

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The concept of optic flow, a global pattern of visual motion that is both caused by and signals self-motion, is canonically ascribed to James Gibson's 1950 book “ The Perception of the Visual World.” There have, however, been several other developments of this concept, chiefly by Gwilym Grindley and Edward Calvert. Based on rarely referenced scientific literature and archival research, this article describes the development of the concept of optic flow by the aforementioned authors and several others. The article furthermore presents the available evidence for interactions between these authors, focusing on whether parts of Gibson's proposal were derived from the work of Grindley or Calvert. While Grindley's work may have made Gibson aware of the geometrical facts of optic flow, Gibson's work is not derivative of Grindley's. It is furthermore shown that Gibson only learned of Calvert's work in 1956, almost a decade after Gibson first published his proposal. In conclusion, the development of the concept of optic flow presents an intriguing example of convergent thought in the progress of science.
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Koenderink, Jan J., and Andrea J. van Doorn. "Second-order optic flow." Journal of the Optical Society of America A 9, no. 4 (April 1, 1992): 530. http://dx.doi.org/10.1364/josaa.9.000530.

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Zimmer, Henning, Andrés Bruhn, and Joachim Weickert. "Optic Flow in Harmony." International Journal of Computer Vision 93, no. 3 (January 26, 2011): 368–88. http://dx.doi.org/10.1007/s11263-011-0422-6.

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Petzold, A. "Optic flow induced nystagmus." Journal of Neurology, Neurosurgery & Psychiatry 76, no. 8 (August 1, 2005): 1173–74. http://dx.doi.org/10.1136/jnnp.2004.052720.

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Dissertations / Theses on the topic "Optic flow"

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Cheng, Chuen-kei Joseph, and 鄭傳基. "Path perception from optic flow." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B4961759X.

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Perceiving the path we are travelling on is important for successful navigation. Relative motion between the world and the observer generates optical flow on the retinae (retinal flow). Gibson (1950) pointed out that when travelling on a straight path with no eye, head, or body rotation, retinal flow is radial and the stationary point indicates the instantaneous direction of travelling, or heading, of the observer. The straight path can then be recovered as it coincides with heading. Nevertheless, it is rarely the case that people travel with no rotation. Instead, they normally look at different points of interest when they are navigating. The result of changing one's gaze or rotating one's head is the addition of a rotational component, which is a laminar flow, to the flow field. The rotational component shifts the stationary point from heading and makes heading perception difficult. Extensive research has been conducted on how the human visual system removes the rotational component of the retinal flow and how extra-retinal information, such as efferent copies of eye muscle commands, may contribute to this process. The paths on which people travel are not always straight, but often curved. When a path is curved, it no longer coincides with heading. In this case, heading is the tangent of the path. Researchers have proposed theories to explain how curved paths are perceived. Each of them requires different visual information and gaze conditions (e.g., fixating on a target or gazing along the heading direction). They can be categorized by whether or not path perception depends on heading perception. The goal of this thesis is to systematically examine different theories of path perception and determine how humans perceive curved paths. Study 1 examined different path perception theories by comparing human path perception performance in various gaze conditions and with the availability of various optic flow information. Study 2 investigated whether path perception depends on heading perception. Study 3 examined the contribution of reference objects to path perception. Study 4 investigated how extra-retinal informationcontribute to path perception. The experiments that I present here show that (a) when there is no extra-retinal information, path perception is accurate only when one's gaze is along heading such that the rotation in the flow field is equal to path rotation; (b) when one's gaze is not along heading such that the rotation in the flow field is not equal to path rotation, path perception is inaccurate. Adding more visual information, such as acceleration, dense flow field, and/ or reference objects does not improve the accuracy; (c) eye movement signals support accurate path perception only in the natural case of self-motion in which body orientation is aligned with heading such that eye movement signals help to stabilize heading in the body-centric coordinate system.
published_or_final_version
Psychology
Doctoral
Doctor of Philosophy
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Frenz, Harald. "Distance perception derived from optic flow." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=970154836.

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Bowns, Linda. "Three dimensional structure from optic flow." Thesis, University of Cambridge, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315035.

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Herlihey, Tracey A. "Optic flow, egocentric direction and walking." Thesis, Cardiff University, 2010. http://orca.cf.ac.uk/54390/.

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This research explored two aspects of visually guided walking (1) what is the role of optic flow in the recalibration of misperceived direction while walking, and (2) how does a change in perceived direction map onto a change in walking direction. Data from five studies investigating adaptation to displaced direction (by prism glasses) suggested the following. First, optic flow is important in the recalibration of perceived direction. Further, processing optic flow is attentionally demanding, such that when cognitive load is increased, recalibration decreases. The results also demonstrated that the timecourse of recalibration changed as a function of the presence, or absence, of optic flow. With regards to the relationship between egocentric direction and walking direction, we demonstrated that a change in visual straight ahead could be mapped onto a change in target-heading error. We found that this relationship held when we unpacked the data according to the direction of displacement to which observers were exposed. The important relationship between visually perceived direction and walking direction was also highlighted in a patient study, using patients whose perception of direction was endogenously shifted after a right hemisphere stroke. Taken together, the results of this thesis help to highlight the role of optic flow in the recalibration of perceived direction, and the role of perceived direction in the visual guidance of walking. It is argued that optic flow promotes rapid recalibration of visual direction, and that change in perceived visual straight ahead can be mapped onto a changed in walking direction.
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Persiani, Michela <1984&gt. "Influence of optic flow on postural control." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7009/1/Persiani_Michela_tesi.pdf.

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The study of optic flow on postural control may explain how self-motion perception contributes to postural stability in young males and females and how such function changes in the old falls risk population. Study I: The aim was to examine the optic flow effect on postural control in young people (n=24), using stabilometry and surface-electromyography. Subjects viewed expansion and contraction optic flow stimuli which were presented full field, in the foveral or in the peripheral visual field. Results showed that optic flow stimulation causes an asymmetry in postural balance and a different lateralization of postural control in men and women. Gender differences evoked by optic flow were found both in the muscle activity and in the prevalent direction of oscillation. The COP spatial variability was reduced during the view of peripheral stimuli which evoked a clustered prevalent direction of oscillation, while foveal and random stimuli induced non-distributed directions. Study II was aimed at investigating the age-related mechanisms of postural stability during the view of optic flow stimuli in young (n=17) and old (n=19) people, using stabilometry and kinematic. Results showed that old people showed a greater effort to maintain posture during the view of optic flow stimuli than the young. Elderly seems to use the head stabilization on trunk strategy. Visual stimuli evoke an excitatory input on postural muscles, but the stimulus structure produces different postural effects. Peripheral optic flow stabilizes postural sway, while random and foveal stimuli provoke larger sway variability similar to those evoked in baseline. Postural control uses different mechanisms within each leg to produce the appropriate postural response to interact with extrapersonal environment. Ageing reduce the effortlessness to stabilize posture during optic flow, suggesting a neuronal processing decline associated with difficulty integrating multi-sensory information of self-motion perception and increasing risk of falls.
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Persiani, Michela <1984&gt. "Influence of optic flow on postural control." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7009/.

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The study of optic flow on postural control may explain how self-motion perception contributes to postural stability in young males and females and how such function changes in the old falls risk population. Study I: The aim was to examine the optic flow effect on postural control in young people (n=24), using stabilometry and surface-electromyography. Subjects viewed expansion and contraction optic flow stimuli which were presented full field, in the foveral or in the peripheral visual field. Results showed that optic flow stimulation causes an asymmetry in postural balance and a different lateralization of postural control in men and women. Gender differences evoked by optic flow were found both in the muscle activity and in the prevalent direction of oscillation. The COP spatial variability was reduced during the view of peripheral stimuli which evoked a clustered prevalent direction of oscillation, while foveal and random stimuli induced non-distributed directions. Study II was aimed at investigating the age-related mechanisms of postural stability during the view of optic flow stimuli in young (n=17) and old (n=19) people, using stabilometry and kinematic. Results showed that old people showed a greater effort to maintain posture during the view of optic flow stimuli than the young. Elderly seems to use the head stabilization on trunk strategy. Visual stimuli evoke an excitatory input on postural muscles, but the stimulus structure produces different postural effects. Peripheral optic flow stabilizes postural sway, while random and foveal stimuli provoke larger sway variability similar to those evoked in baseline. Postural control uses different mechanisms within each leg to produce the appropriate postural response to interact with extrapersonal environment. Ageing reduce the effortlessness to stabilize posture during optic flow, suggesting a neuronal processing decline associated with difficulty integrating multi-sensory information of self-motion perception and increasing risk of falls.
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Pannell, C. N. "Fibre-optic laser Doppler velocimetry." Thesis, University of Kent, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383370.

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Lee, Jongsoo. "Facet model optic flow and rigid body motion." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53885.

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The dissertation uses the facet model technique to compute the optic flow field directly from a time sequence of image frames. Two techniques, an iterative and a non-iterative one, determine 3D motion parameters and surface structure (relative depth) from the computed optic flow field. Finally we discuss a technique for the image segmentation based on the multi-object motion using both optic flow and its time derivative. The facet model technique computes optic flow locally by solving over-constrained linear equations obtained from a fit over 3D (row, column, and time) neighborhoods in an image sequence. The iterative technique computes motion parameters and surface structure using each to update the other. This technique essentially uses the least square error method on the relationship between optic flow field and rigid body motion. The non-iterative technique computes motion parameters by solving a linear system derived from the relationship between optic flow field and rigid body motion and then computes the relative depth of each pixel using the motion parameters computed. The technique also estimates errors of both the computed motion parameters and the relative depth when the optic flow is perturbed.
Ph. D.
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Fraedrich, Eva. "The effects of spatially relevant and irrelevant optic flow." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-145894.

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Wertz, Adrian. "Optic flow processing in premotor descending neurons of the fly." Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-99215.

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Books on the topic "Optic flow"

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1946-, Vaina Lucia, Beardsley Scott A, and Rushton Simon K, eds. Optic flow and beyond. Dordrecht: Kluwer Academic Publishers, 2004.

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Vaina, Lucia M., Scott A. Beardsley, and Simon K. Rushton, eds. Optic Flow and Beyond. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2092-6.

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Markus, Lappe, ed. Neuronal processing of optic flow. San Diego, CA: Academic Press, 2000.

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Mozaffarieh, Maneli, and Josef Flammer. Ocular Blood Flow and Glaucomatous Optic Neuropathy. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-69443-4.

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(Josef), Flammer J., and SpringerLink (Online service), eds. Ocular Blood Flow and Glaucomatous Optic Neuropathy. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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Udd, Eric. Development and evaluation of fiber optic sensors. Salem, OR: Oregon Dept. of Transportation, Research Group, 2003.

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Erickson, Gary E. Fiber-optic-based laser vapor screen flow visualization sysytem for aerodynamic research in larger scale subsonic and transonic wind tunnels. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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Erickson, Gary E. Fiber-optic-based laser vapor screen flow visualization sysytem for aerodynamic research in larger scale subsonic and transonic wind tunnels. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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Erickson, Gary E. Fiber-optic-based laser vapor screen flow visualization system for aerodynamic research in larger scale subsonic and transonic wind tunnels. Hampton, Va: Langley Research Center, 1994.

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Erickson, Gary E. Fiber-optic-based laser vapor screen flow visualization system for aerodynamic research in larger scale subsonic and transonic wind tunnels. Hampton, Va: Langley Research Center, 1994.

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Book chapters on the topic "Optic flow"

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Srinivasan, Mandyam V. "Optic Flow." In Encyclopedia of Animal Cognition and Behavior, 1–5. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_1299-1.

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Srinivasan, Mandyam V. "Optic Flow." In Encyclopedia of Animal Cognition and Behavior, 4829–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_1299.

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Krapp, Holger G. "Optic Flow Processing." In Encyclopedia of Computational Neuroscience, 2156–75. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_332.

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Florack, Luc. "Multiscale Optic Flow." In Computational Imaging and Vision, 175–203. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8845-4_6.

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Krapp, Holger G. "Optic Flow Processing." In Encyclopedia of Computational Neuroscience, 1–22. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7320-6_332-1.

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Zimmer, Henning, Andrés Bruhn, Joachim Weickert, Levi Valgaerts, Agustín Salgado, Bodo Rosenhahn, and Hans-Peter Seidel. "Complementary Optic Flow." In Lecture Notes in Computer Science, 207–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03641-5_16.

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ter Haar Romeny, Bart, Luc Florack, and Avan Suinesiaputra. "Multi-scale optic flow." In Computational Imaging and Vision, 285–310. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-1-4020-8840-7_17.

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Niessen, Wiro J., and Robert Maas. "Optic Flow and Stereo." In Computational Imaging and Vision, 31–42. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8802-7_3.

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Demetz, Oliver, Joachim Weickert, Andrés Bruhn, and Henning Zimmer. "Optic Flow Scale Space." In Lecture Notes in Computer Science, 713–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24785-9_60.

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Lewis, M. Anthony. "Controlling Bipedal Movement Using Optic Flow." In Optic Flow and Beyond, 471–85. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2092-6_21.

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Conference papers on the topic "Optic flow"

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Hafner, David, Oliver Demetz, and Joachim Weickert. "Simultaneous HDR and Optic Flow Computation." In 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, 2014. http://dx.doi.org/10.1109/icpr.2014.360.

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Kass, Michael. "The Wave Equation And Optic Flow." In OE LASE'87 and EO Imaging Symp (January 1987, Los Angeles), edited by Hua-Kuang Liu and Paul S. Schenker. SPIE, 1987. http://dx.doi.org/10.1117/12.939970.

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Meng, Aidong, Shanglian Huang, Weimin Chen, and Fei Luo. "Hybrid fiber optic flow sensor system." In SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Ramon P. DePaula and John W. Berthold III. SPIE, 1996. http://dx.doi.org/10.1117/12.255839.

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Zhuang, Xinhua, Tao Wang, and Peng Zhang. "Optic flow: multiple instantaneous rigid motions." In San Diego, '91, San Diego, CA, edited by Su-Shing Chen. SPIE, 1991. http://dx.doi.org/10.1117/12.48405.

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Alaeddini, Atiye, and Kristi A. Morgansen. "Autonomous state estimation using optic flow sensing." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6579900.

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Chu, Beatrice C., Trevor P. Newson, and David A. Jackson. "Fiber-optic-based vortex shedder flow meter." In ECO4 (The Hague '91), edited by Oliverio D. Soares. SPIE, 1991. http://dx.doi.org/10.1117/12.46991.

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Boiarski, Anthony A., James R. Busch, Ballwant S. Bhullar, Richard W. Ridgway, and Van E. Wood. "Integrated optic sensor with macro-flow cell." In Fibers '92, edited by Massood Tabib-Azar and Dennis L. Polla. SPIE, 1993. http://dx.doi.org/10.1117/12.141217.

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Escalante-Ramirez, Boris, Jose L. Silvan-Cardenas, and Hector Yuen-Zhuo. "Optic flow estimation using the Hermite transform." In Optical Science and Technology, the SPIE 49th Annual Meeting, edited by Andrew G. Tescher. SPIE, 2004. http://dx.doi.org/10.1117/12.562364.

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Gerardi, Steven A., J. Sean Humbert, Leland E. Pierce, and Kamal Sarabandi. "Velocity estimation using optic flow and radar." In SPIE Defense, Security, and Sensing. SPIE, 2011. http://dx.doi.org/10.1117/12.884165.

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Chang, Yu-Chung, Jing Yong Ye, Thommey Thomas, Zhengyi Cao, Alina Kotlyar, James R. Baker, and Theodore B. Norris. "Fiber-optic Multiphoton in vivo Flow Cytometry." In Conference on Lasers and Electro-Optics. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/cleo.2009.cwe6.

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Reports on the topic "Optic flow"

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Ahlert, Matthew J. Multiresolutional Optic Flow. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada416020.

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Schneider, Kathryn, Joseph Conroy, and Wiliam Nothwang. Computing Optic Flow with ArduEye Vision Sensor. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada572633.

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Touma, Jimmy E. Optic Flow for Enhanced Navigation and Seeker Exploitation (OFFENSE). Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada495440.

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Kimura, Takahiko, Naoyuki Midorikawa, Kazumitsu Shinohara, Toshiaki Miura, Yuichi Komada, Masaro Kogure, and Toshimasa Yamamoto. The Effect of Optic Flow on Shift of Attention in Depth. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0551.

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Bianchi, J. Christopher. Velocity measurements of low Reynolds number tube flow using fiber-optic technology. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/10140118.

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Duffy, Kate R. Feature Guided Image Registration Applied to Phase-and Wavelet-Based Optic Flow. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada415098.

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Mathis, Allison, William Nothwang, Daniel Donavanik, Joseph Conroy, Jared Shamwell, and Ryan Robinson. Making Optic Flow Robust to Dynamic Lighting Conditions for Real-Time Operation. Fort Belvoir, VA: Defense Technical Information Center, March 2016. http://dx.doi.org/10.21236/ad1005369.

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Bianchi, J. C. Velocity measurements of low Reynolds number tube flow using fiber-optic technology. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/6625783.

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Kwon, Heeseo Rain, HeeAh Cho, Jongbok Kim, Sang Keon Lee, and Donju Lee. International Case Studies of Smart Cities: Namyangju, Republic of Korea. Inter-American Development Bank, June 2016. http://dx.doi.org/10.18235/0007014.

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This case study is one of ten international studies developed by the Korea Research Institute for Human Settlements (KRIHS), in association with the Inter-American Development Bank (IDB), for the cities of Anyang, Medellin, Namyangju, Orlando, Pangyo, Rio de Janeiro, Santander, Singapore, Songdo, and Tel Aviv. At the IDB, the Competitiveness and Innovation Division (CTI), the Fiscal and Municipal Management Division (FMM), and the Emerging and Sustainable Cities Initiative (ESCI) coordinated the study. This project was part of technical cooperation ME-T1254, financed by the Knowledge Partnership Korean Fund for Technology and Innovation of the Republic of Korea. At KRIHS, the National Infrastructure Research Division coordinated the project and the Global Development Partnership Center provided the funding. Namyangju, a city of 650,000 populations in Korea has been promoting smart city project since 2008 as a response to recent growth of population, increased share of transport and crime rate. Namyangju offers various civic services especially via smartphone such as customized real-time road CCTV images, traffic flow and incident information, as well as application for senior resident protection. Namyangju is also equipped with security system at bus stops and multifunctional "smart pole", which combines street light, CCTV, and traffic signal controller to promote efficient use of roadside facility. The city promotes local economy through online market system making use of its local organic farms and actively utilizes bus stops and roadside VMS in attracting advertisement to raise regular profit. Namyangju is in the process of installing 101km fiber-optic network and plans to complete the construction of Integrated Operation and Control Center (IOCC) by 2016. The city's current focus is on citizen interaction and further business model development.
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O`Hern, T. J., J. R. Torczynski, R. N. Shagam, T. K. Blanchat, T. Y. Chu, A. L. Tassin-Leger, and J. A. Henderson. Optical diagnostics for turbulent and multiphase flows: Particle image velocimetry and photorefractive optics. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/446382.

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