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2008

High-speed Motion Analysis with Multi-Exposure Images

11 years 2 months ago
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.
Christian Linz, Timo Stich, Marcus A. Magnor
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2008
Where VMV
Authors Christian Linz, Timo Stich, Marcus A. Magnor
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