Pattern of motion in a visual scene due to relative motion of the observer
The optic flow experienced by a rotating observer (in this case a fly). The direction and magnitude of optic flow at each location is represented by the direction and length of each arrow.
Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene.[1][2] Optical flow can also be defined as the distribution of apparent velocities of movement of brightness pattern in an image.[3]
The concept of optical flow was introduced by the American psychologist James J. Gibson in the 1940s to describe the visual stimulus provided to animals moving through the world.[4] Gibson stressed the importance of optic flow for affordance perception, the ability to discern possibilities for action within the environment. Followers of Gibson and his ecological approach to psychology have further demonstrated the role of the optical flow stimulus for the perception of movement by the observer in the world; perception of the shape, distance and movement of objects in the world; and the control of locomotion.[5]
The term optical flow is also used by roboticists, encompassing related techniques from image processing and control of navigation including motion detection, object segmentation, time-to-contact information, focus of expansion calculations, luminance, motion compensated encoding, and stereo disparity measurement.[6][7]
^Burton, Andrew; Radford, John (1978). Thinking in Perspective: Critical Essays in the Study of Thought Processes. Routledge. ISBN 978-0-416-85840-2.
^Warren, David H.; Strelow, Edward R. (1985). Electronic Spatial Sensing for the Blind: Contributions from Perception. Springer. ISBN 978-90-247-2689-9.
^Horn, Berthold K.P.; Schunck, Brian G. (August 1981). "Determining optical flow" (PDF). Artificial Intelligence. 17 (1–3): 185–203. doi:10.1016/0004-3702(81)90024-2. hdl:1721.1/6337.
^Gibson, J.J. (1950). The Perception of the Visual World. Houghton Mifflin.
^Royden, C. S.; Moore, K. D. (2012). "Use of speed cues in the detection of moving objects by moving observers". Vision Research. 59: 17–24. doi:10.1016/j.visres.2012.02.006. PMID 22406544. S2CID 52847487.
^Aires, Kelson R. T.; Santana, Andre M.; Medeiros, Adelardo A. D. (2008). Optical Flow Using Color Information(PDF). ACM New York, NY, USA. ISBN 978-1-59593-753-7.
^Beauchemin, S. S.; Barron, J. L. (1995). "The computation of optical flow". ACM Computing Surveys. 27 (3). ACM New York, USA: 433–466. doi:10.1145/212094.212141. S2CID 1334552.
Opticalflow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an...
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and thereby purify cells of interest based on their optical properties. The first impedance-based flow cytometry device, using the Coulter principle, was...
estimation errors in opticalflow estimation. Larger schemes with even higher accuracy and optimized filter families for extended opticalflow estimation have...
Universal Capture that utilized 7 camera setup and the tracking the opticalflow of all pixels over all the 2-D planes of the cameras for motion, gesture...
additional frame is generated. DLSS 3.0 makes use of a new generation OpticalFlow Accelerator (OFA) included in Ada Lovelace generation RTX GPUs. The new...
categorized into opticalflow or kernel-based and pixel hallucination-based methods. Flow-based methods linearly combines predicted opticalflows between two...
predict opticalflow on one pixel a query would attend using the pixel’s xy coordinates plus an opticalflow task embedding to produce a single flow vector...
and opticalflow analysis to perform synthetic schlieren, but it is possible to achieve the same effect in streak imaging with an analog optical system...
highest quality method of converting 60i footage to 24p. It involves using opticalflow to extrapolate 24 frames of information from 60 frames while compensating...
representation of objects as interconnections of smaller structures, opticalflow, and motion estimation. The next decade saw studies based on more rigorous...
shape parametrization". The theory of opticalflow derives from concepts of active perception, and while opticalflow is now typically considered a vector...
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along the flow (collinear measurements would require generally high flow velocities and extremely narrow-band optical filters). In optical interferometry...
(barometric) and GPS, along with optional additional sensors such as opticalflow sensors, airspeed indicators, laser or sonar altimeters or rangefinders...
categories: image difference, statistical methods, wavelets, layering, opticalflow and factorization. Moreover, depending on the number of views required...
Optical IP Switching (OIS), is a novel method of creating transparent optical connections between network nodes using a flow-based approach. An IP flow...
were incorporated into the bullet time scene, and algorithms based on opticalflow were used to interpolate between the still images to produce a fluent...
Particle image velocimetry (PIV) is an optical method of flow visualization used in education and research. It is used to obtain instantaneous velocity...
flow of the water downstream from the tap can transition to turbulent flow. Optical transparency is then reduced or lost entirely. Laminar airflow is used...
always be structured in this way. He also noticed that "opticalflow patterns", or opticalflow invariants, are produced in the array as the agent moves...
kind of warping has taken place between consecutive images, one can use opticalflow estimation techniques. ImWIP is an open-source, image warping tool for...
equipped with built-in GTX 1650 chipsets. TU117 does not support Nvidia OpticalFlow, which is useful for motion interpolation software. All TU117 GPUs use...
frame cameras. This allows them to track object and camera movement (opticalflow) more accurately. They yield grey-scale information. Initially (2014)...
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