Keywords
PixelComputationAlgorithmArtificial intelligenceComputer visionSmoothnessMotion estimationDisplacement (psychology)MathematicsMatching (statistics)Structure from motionMotion (physics)Image (mathematics)Measure (data warehouse)Constraint (computer-aided design)Scale (ratio)Computer scienceData miningGeometry
Affiliated Institutions
Related Publications
A framework for the robust estimation of optical flow
The authors consider the problem of robustly estimating optical flow from a pair of images using a new framework based on robust estimation which addresses violations of the bri...
The computation of optical flow
Two-dimensional image motion is the projection of the three-dimensional motion of objects, relative to a visual sensor, onto its image plane. Sequences of time-orderedimages all...
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
Optical flow estimation is classically marked by the requirement of dense sampling in time. While coarse-to-fine warping schemes have somehow relaxed this constraint, there is a...
Super-Resolution Without Explicit Subpixel Motion Estimation
The need for precise (subpixel accuracy) motion estimates in conventional super-resolution has limited its applicability to only video sequences with relatively simple motions s...
<title>Determining Optical Flow</title>
Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has two components. A se...
Publication Info
- Year
- 1989
- Type
- article
- Volume
- 2
- Issue
- 3
- Pages
- 283-310
- Citations
- 1059
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
1059
OpenAlex
Cite This
P. Anandan
(1989).
A computational framework and an algorithm for the measurement of visual motion.
International Journal of Computer Vision
, 2
(3)
, 283-310.
https://doi.org/10.1007/bf00158167
Identifiers
- DOI
- 10.1007/bf00158167