Computer Graphics
TU Braunschweig

High-speed Motion Analysis with Multi-exposure Images

High-speed Motion Analysis with Multi-exposure Images

We propose a method to estimate dense motion vector fields from multi-exposure images. Our approach relies on finding a sparse set of correspondences between features in a single-exposure image and each exposure in a multi-exposure image using a global optimization technique. We iteratively establish such matches, compute a set of locally restricted transformations for the matches, and construct a dense motion vector field in a multiresolution framework. The estimation of the number of necessary transformations and the regions of influence is guided by superpixel segmentation of the image. We present results for multi-exposure photos of different dynamic scenes.

Author(s):Christian Linz, Timo Stich, Marcus Magnor
Published:October 2008
Type:Article in conference proceedings
Book:Proc. Vision, Modeling and Visualization (VMV)
Presented at:Vision, Modeling and Visualization (VMV) 2008

  title = {High-speed Motion Analysis with Multi-exposure Images},
  author = {Linz, Christian and Stich, Timo and Magnor, Marcus},
  booktitle = {Proc. Vision, Modeling and Visualization ({VMV})},
  organization = {Eurographics},
  month = {Oct},
  year = {2008}