Edge detection and motion detection
Image and Vision Computing
Scene Segmentation from Visual Motion Using Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bounds on time-to-collision and rotational component from first-order derivatives of image flow
Computer Vision, Graphics, and Image Processing
Obstacle detection by evaluation of optical flow fields
ECCV 90 Proceedings of the first european conference on Computer vision
Stereo correspondence from optic flow
ECCV 90 Proceedings of the first european conference on Computer vision
Computation of component image velocity from local phase information
International Journal of Computer Vision
The feasibility of motion and structure from noisy time-varying image velocity information
International Journal of Computer Vision
Techniques for disparity measurement
CVGIP: Image Understanding
On the Detection of Motion and the Computation of Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional motion computation and object segmentation in a long sequence of stereo frames
International Journal of Computer Vision
Subspace methods for recovering rigid motion I: algorithm and implementation
International Journal of Computer Vision
Motion recovery from image sequences using only first order optical flow information
International Journal of Computer Vision
Motion segmentation and qualitative dynamic scene analysis from an image sequence
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
The use of optical flow for the autonomous navigation
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Measurement of Image Velocity
The Accuracy of the Computation of Optical Flow and of the Recovery of Motion Parameters
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast Method to Estimate Sensor Translation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Identifying multiple motions from optical flow
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A Fast Obstacle Detection Method based on Optical Flow
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Oriented Structure of the Occlusion Distortion: Is It Reliable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple motion analysis: in spatial or in spectral domain?
Computer Vision and Image Understanding
A Roadmap to the Integration of Early Visual Modules
International Journal of Computer Vision
Multiple motion estimation using channel matrices
IWCM'04 Proceedings of the 1st international conference on Complex motion
Two-dimensional channel representation for multiple velocities
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
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
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Retinal image motion and optical flow as its approximation are fundamental concepts in the field of vision, perceptual and computational. However, the computation of optical flow remains a challenging problem as image motion includes discontinuities and multiple values mostly due to scene geometry, surface translucency and various photometric effects such as reflectance. In this contribution, we analyze image motion in the frequency space with respect to motion discontinuities and translucence. We derive the frequency structure of motion discontinuities due to occlusion and we demonstrate its various geometrical properties. The aperture problem is investigated and we show that the information content of an occlusion almost always disambiguates the velocity of an occluding signal suffering from the aperture problem. In addition, the theoretical framework can describe the exact frequency structure of Non-Fourier motion and bridges the gap between Non-Fourier visual phenomena and their understanding in the frequency domain.