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Computing optical flow across multiple scales: An adaptive coarse-to-fine strategy

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What this work says

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

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Multilevel Relaxation in Low-Level Computer Vision
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Movement detectors provide sufficient information for local computation of 2-D velocity field
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Determining optical flow
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Computations underlying the measurement of visual motion
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Velocity determination in scenes containing several moving objects
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Investigations of multigrid algorithms for the estimation of optical flow fields in image sequences
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Multi-Level Adaptive Solutions to Boundary-Value Problems
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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
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Image Analysis Using Multigrid Relaxation Methods
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Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization
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Constraints for the computation of optical flow
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Analysis of differential and matching methods for optical flow
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Parallel Integration of Vision Modules
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Computing Optical Flow in the Primate Visual System
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Temporal covariance model of human motion perception
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Systemtheoretische Analyse der Zeit-, Reihenfolgen- und Vorzeichenauswertung bei der Bewegungsperzeption des Rüsselkäfers Chlorophanus
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Determining optical flow
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Multiscale methods, parallel computation, and neural networks for real-time computer vision

What points at this work

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

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