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Abstract

Digital movie cameras only perform a discrete sampling of real-world imagery.
While spatial sampling effects are well studied in the literature, there has
not been as much work in regards to temporal sampling. As cameras get faster
and faster, the need for conventional frame-rate video that matches the
abilities of human perception remains. In this article, we introduce a system
with controlled temporal sampling behavior. It transforms a high fps input
stream into a conventional speed output video in
real-time.
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We investigate the effect of different temporal sampling kernels and
demonstrate that extended, overlapping kernels can mitigate aliasing
artifacts. Furthermore, NPR effects, such as enhanced motion blur, can be
achieved. By applying Fourier transforms in the temporal domain, we can also
obtain novel tools for analyzing and visualizing time dependent effects.
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We demonstrate the effect of different
sampling kernels in creating enhanced movies and stills of fast motion.