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A multi-frame approach to visual motion perception
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Introduction to Numerical Analysis
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Perturbation Theory for Linear Operators
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Motion fields are hardly ever ambiguous
inferredcites →https://doi.org/10.1098/rspb.1988.0020openalex-snapshot
(Non-)rigid motion interpretation : a regularized approach
inferredcites →https://doi.org/10.1109/34.57666openalex-snapshot
3-D motion estimation using a sequence of noisy stereo images: models, estimation, and uniqueness results
inferredcites →https://doi.org/10.1109/ccv.1988.590022openalex-snapshot
Optimal Computing Of Structure From Motion Using Point Correspondences In Two Frames
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Incremental estimation of dense depth maps from image sequences
inferredcites →https://doi.org/10.1109/cvpr.1988.196312openalex-snapshot
3-D motion estimation using a sequence of noisy stereo images
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.1986.4767755openalex-snapshot
Estimation of Object Motion Parameters from Noisy Images
inferredcites →https://doi.org/10.1109/tpami.1987.4767920openalex-snapshot
3-D Motion Estimation, Understanding, and Prediction from Noisy Image Sequences
inferredcites →https://doi.org/10.1364/josaa.6.000879openalex-snapshot
Performance bounds for estimating three-dimensional motion parameters from a sequence of noisy images
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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