From orientation selection to optical flow
Computer Vision, Graphics, and Image Processing - Special issue on human and machine vission, part II
A Three-Frame Algorithm for Estimating Two-Component Image Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing occluding and transparent motions
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Compact Representations of Videos Through Dominant and Multiple Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Frequency Structure of One-Dimensional Occluding Image Signals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distributional population codes and multiple motion models
Proceedings of the 1998 conference on Advances in neural information processing systems II
Measurement of Image Velocity
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Cooperative Robust Estimation Using Layers of Support
IEEE Transactions on Pattern Analysis and Machine Intelligence
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation.
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Estimating Camera Motion through a 3D Cluttered Scene
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Optical-flow based on an edge-avoidance procedure
Computer Vision and Image Understanding
Analysis of Rain and Snow in Frequency Space
International Journal of Computer Vision
A spatial-temporal frequency approach to estimate cardiac motion
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
A spectral-particle hybrid method for rendering falling snow
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
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Classical methods for measuring image motion by computer have concentrated on the cases of optical flow in which the motion field is continuous, or layered motion in which the motion field is piecewise continuous. Here we introduce a third natural category which we call optical snow. Optical snow arises in many natural situations such as camera motion in a highly cluttered 3-D scene, or a passive observer watching a snowfall. Optical snow yields dense motion parallax with depth discontinuities occurring near all image points. As such, constraints on smoothness or even smoothness in layers do not apply. In the Fourier domain, optical snow yields a one-parameter family of planes which we call a bowtie. We present a method for measuring the parameters of the direction and range of speeds of the motion for the special case of parallel optical snow. We demonstrate the effectiveness of the method for both synthetic and real image sequences.