Biological Cybernetics
Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Flow Segmentation and Estimation by Constraint Line Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Experiments in the machine interpretation of visual motion
Experiments in the machine interpretation of visual motion
Computing optical flow across multiple scales: an adaptive coarse-to-fine strategy
International Journal of Computer Vision
On the Detection of Motion and the Computation of Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
Optical flow estimation: advances and comparisons
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
The computation of optical flow
ACM Computing Surveys (CSUR)
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining Optical Flow
Optical Flow from 1D Correlation: Application to a Simple Time- to-crash Detector
Optical Flow from 1D Correlation: Application to a Simple Time- to-crash Detector
A low-cost 3D human interface device using GPU-based optical flow algorithms
Integrated Computer-Aided Engineering
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To solve the problem of estimating velocities of gas bubbles in melted glass, a method based on optical flow constraint (OFC) has been extended to the 3D case. A single camera, whose distance to the fluid is variable in time, is used to capture a sequence of frames at different depths. Since objects are not static, we cannot obtain two frames of different height values at the same time, and to our knowledge, this prevents the use of common 3D motion estimation techniques. Since the information will be rather sparse, our estimation takes several measures around a given pixel and discards the erroneous ones, using a robust estimator. Along with the exposition of the practical application, the estimation proposed here is first contrasted in the 2D case to common benchmarks and then evaluated for a synthetic problem where velocities are known.