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", in Proc. Vision, Modeling and Visualization (VMV), Siegen, Germany, pp. 115–122, Eurographics Association, November 2010. Part of project "Virtual Video Camera". [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, even if correspondences are perfect. Furthermore,
ghosting artifacts appear as soon as the underlying correspondence fields are imperfect. We address both
issues and propose a multi-image interpolation algorithm that avoids blending. Instead, we cast multi-image interpolation
as a labeling problem and decide 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