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3-D interpretation of optical flow by renormalization

https://doi.org/10.1007/bf01469345
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-61275-6openalex-snapshot
Group-Theoretical Methods in Image Understanding
inferredcites →https://doi.org/10.1007/bf00127823openalex-snapshot
Closed-form solutions to image flow equations for 3D structure and motion
inferredcites →https://doi.org/10.1007/bf00127824openalex-snapshot
Motion fields are hardly ever ambiguous
inferredcites →https://doi.org/10.1007/bf00128130openalex-snapshot
Subspace methods for recovering rigid motion I: Algorithm and implementation
inferredcites →https://doi.org/10.1007/bf00132601openalex-snapshot
Critical surface pairs and triplets
inferredcites →https://doi.org/10.1007/bf00137443openalex-snapshot
Relative orientation
inferredcites →https://doi.org/10.1007/bf00836282openalex-snapshot
Interpretation of image flow: Rigid curved surfaces in motion
inferredcites →https://doi.org/10.1016/0146-664x(81)90004-6openalex-snapshot
Determining the instantaneous direction of motion from optical flow generated by a curvilinearly moving observer
inferredcites →https://doi.org/10.1016/0146-664x(82)90081-8openalex-snapshot
Volumetric model and 3D trajectory of a moving car derived from monocular TV frame sequences of a street scene
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Analytical results on error sensitivity of motion estimation from two views
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Ambiguity in reconstruction from image correspondences
inferredcites →https://doi.org/10.1016/1049-9660(91)90034-mopenalex-snapshot
Computational projective geometry
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Passive navigation
inferredcites →https://doi.org/10.1038/293133a0openalex-snapshot
A computer algorithm for reconstructing a scene from two projections
inferredcites →https://doi.org/10.1093/oso/9780198563853.001.0001openalex-snapshot
Geometric Computation for Machine Vision
inferredcites →https://doi.org/10.1098/rspa.1985.0101openalex-snapshot
The angular Velocity associated with the optical flowfield arising from motion through a rigid environment
inferredcites →https://doi.org/10.1098/rspa.1988.0071openalex-snapshot
Multiple interpretations of a pair of images of a surface
inferredcites →https://doi.org/10.1098/rspb.1980.0057openalex-snapshot
The interpretation of a moving retinal image
inferredcites →https://doi.org/10.1109/34.184773openalex-snapshot
Unbiased estimation and statistical analysis of 3-D rigid motion from two views
inferredcites →https://doi.org/10.1109/34.24779openalex-snapshot
Motion and structure from two perspective views: algorithms, error analysis, and error estimation
inferredcites →https://doi.org/10.1109/34.276132openalex-snapshot
Statistical bias of conic fitting and renormalization
inferredcites →https://doi.org/10.1109/34.41368openalex-snapshot
Some properties of the E matrix in two-view motion estimation
inferredcites →https://doi.org/10.1109/34.61703openalex-snapshot
Multiple interpretations of the shape and motion of objects from two perspective images
inferredcites →https://doi.org/10.1109/iccv.1993.378156openalex-snapshot
Renormalization for unbiased estimation
inferredcites →https://doi.org/10.1109/tpami.1984.4767471openalex-snapshot
Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces
inferredcites →https://doi.org/10.1109/tpami.1985.4767678openalex-snapshot
Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects
inferredcites →https://doi.org/10.1109/tpami.1986.4767810openalex-snapshot
Robust Estimation of Three-Dimensional Motion Parameters from a Sequence of Image Frames Using Regularization
inferredcites →https://doi.org/10.1364/josaa.2.000354openalex-snapshot
Processing differential image motion

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Resampling Method for Computer Vision
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An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
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Robust techniques for the estimation of structure from motion in the uncalibrated case
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Modeling the influence of optic flow on grid cell firing in the absence of other cues1
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Computational analyses for illusory transformations in the optic flow field and heading perception in the presence of moving objects
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Effects of roll and pitch components in retinal flow on heading judgement
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