Multi-image interpolation based on graph-cuts and symmetric optical flow Christian Linz, Christian Lipski, Marcus Magnor

Christian Linz, Christian Lipski, and Marcus Magnor: "Multi-image interpolation based on graph-cuts and symmetric optical flow", August 2010. SIGGRAPH '10: ACM SIGGRAPH 2010 Posters [pdf] [bib]

Abstract

Multi-image interpolation in space and time has recently received
considerable attention. Typically, the interpolated image is synthesized
by adaptively blending several forward-warped images.
Blending itself is a low-pass filtering operation: the interpolated images
are prone to blurring and ghosting artifacts as soon as the underlying
correspondence fields are imperfect. We address both issues
and propose a multi-image interpolation algorithm that avoids
blending. Instead, our algorithm decides for each pixel in the synthesized
view from which input image to sample. Combined with
a symmetrical long-range optical flow formulation for correspondence
field estimation, our approach yields crisp interpolated images
without ghosting artifacts.

TU Braunschweig - Fakultät für Mathematik und Informatik - Computer Graphics - Publications - Multi-image interpolation based on graph-cuts and symmetric optical flow