Computer Graphics
TU Braunschweig

Multi-Image Interpolation based on Graph-Cuts and Symmetric Optical Flow


Multi-Image Interpolation based on Graph-Cuts and Symmetric Optical Flow

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.


Author(s):Christian Linz, Christian Lipski, Marcus Magnor
Year:2010
Month:November
Type:Article in conference proceedings
Book:Proc. Vision, Modeling and Visualization (VMV) (Eurographics Association)
Presented at:Vision, Modeling and Visualization (VMV)
Project(s): Image-space Editing of 3D Content  Virtual Video Camera 


@inproceedings{linz10vmv,
  title = {Multi-Image Interpolation based on Graph-Cuts and Symmetric Optical Flow},
  author = {Linz, Christian and Lipski, Christian and Magnor, Marcus},
  booktitle = {Proc. Vision, Modeling and Visualization ({VMV})},
  organization = {Eurographics},
  pages = {115--122},
  month = {Nov},
  year = {2010}
}

Authors