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Conference Paper

A Shaped Temporal Filter Camera

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44457

Fuchs,  Martin
Computer Graphics, MPI for Informatics, Max Planck Society;
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44239

Chen,  Tongbo
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45697

Wang,  Oliver
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44911

Lensch,  Hendrik P. A.
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Fuchs, M., Chen, T., Wang, O., Raskar, R., Seidel, H.-P., & Lensch, H. P. A. (2009). A Shaped Temporal Filter Camera. In M. Magnor, B. Rosenhahn, & H. Theisel (Eds.), Proceedings of the Vision, Modeling and Visualization Workshop 2009 (pp. 177-186). Postfach 4120, 39016 Magdeburg, Germany: Otto-Von-Guericke-Universität Magdeburg, Institut für Simulation und Graphik.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-1980-1
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. % 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. % We demonstrate the effect of different sampling kernels in creating enhanced movies and stills of fast motion.