Part of the Computational Imaging and Vision book series (CIVI, volume 27)

In the time domain we encounter sampled data just as in the spatial domain. E.g. a movie is a series of frames, samples taken at regular intervals. In the spatial domain we needed an integration over a spatial area to catch the information. Likewise, we need to have an aperture in time integrating for some time to perform the measurement. This is the integration time. Systems with a short resp. long integration time are said to have a fast resp. slow response. Because of the necessity of this integration time, which need to have a finite duration (temporal width) in time, a scale-space construct is a physical necessity again.


Receptive Field Time Axis Half Axis Spatial Kernel Temporal Causality 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science + Business Media B.V. 2003

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