On the estimation of optical flow: relations between different approaches and some new results
Artificial Intelligence
Optical Flow with an Intensity-Weighted Smoothing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of component image velocity from local phase information
International Journal of Computer Vision
Measurement of Image Velocity
Design and Use of Linear Models for Image Motion Analysis
International Journal of Computer Vision
Probabilistic Detection and Tracking of Motion Boundaries
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Oriented Structure of the Occlusion Distortion: Is It Reliable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Skewness of Gabor Wavelets and Source Signal Separation
WAA '01 Proceedings of the Second International Conference on Wavelet Analysis and Its Applications
Bayesian inference of visual motion boundaries
Exploring artificial intelligence in the new millennium
International Journal of Computer Vision
Multiple motion analysis: in spatial or in spectral domain?
Computer Vision and Image Understanding
Estimating Camera Motion through a 3D Cluttered Scene
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Narrow directional steerable filters in motion estimation
Computer Vision and Image Understanding
Estimation of motions in color image sequences using hypercomplex fourier transforms
IEEE Transactions on Image Processing
Using skew Gabor filter in source signal separation and local spectral orientation analysis
Image and Vision Computing
| Hi-index | 0.15 |
We present a theoretical investigation of the frequency structure of 1D occluding image signals. We show that image signal occlusion contains relevant information which is most easily extractable from its representation in the frequency domain. For instance, the occluding and occluded signal velocities may be identified as such and translucency phenomena may be understood in the terms of this theoretical investigation. In addition, it is found that the structure of occluding 1D signals is invariant under constant and linear models of signal velocity. This theoretical framework can be used to describe the exact frequency structure of non-Fourier motion and bridges the gap between such visual phenomena and their understanding in the frequency domain.