The frequency structure of one-dimensional occluding image signals

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 velocit...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2000-02, Vol.22 (2), p.200-206
Main Authors: Beauchemin, S.S., Barron, J.L.
Format: Article
Language:English
Subjects:
Bridges
Bridges (structures)
Data mining
Deformable models
Frequency domain analysis
Frequency domains
Geometry
Image analysis
Intelligence
Invariants
Layout
Pattern analysis
Representations
Signal analysis
Signal processing
Spatiotemporal phenomena
Visual
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Summary: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.
ISSN:0162-8828
1939-3539
DOI:10.1109/34.825758