Spacetime Tetrahedra : Image-Based Viewpoint Navigation through Space and Time

Lipski, Christian; Albuquerque, Georgia; Stich, Timo; Magnor, Marcus

We present a purely image-based rendering system to viewpoint-navigate through space and time of arbitrary dynamic scenes. Unlike previous methods, our approach does not rely on synchronized and calibrated multi-video footage as input. Instead of estimating scene depth or reconstructing 3D geometry, our approach is based on dense image correspondences, treating view interpolation equally in space and time. In a nutshell, we tetrahedrally partition the volume spanned by camera directions and time, determine the warp field along each tetrahedral edge, and warp-blend-interpolate any viewpoint inside a tetrahedron from the four video frames representing its vertices. Besides fast and easy acquisition to make outdoor recordings feasible, our space-time symmetric approach allows for smooth interpolation of view perspective and time, i.e., for simultaneous free-viewpoint and slow motion rendering.


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Lipski, C., Albuquerque, G., Stich, T., Magnor, M., 2008. Spacetime Tetrahedra: Image-Based Viewpoint Navigation through Space and Time.
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