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- W152043303 abstract "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." @default.
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- W152043303 title "High-speed Motion Analysis with Multi-Exposure Images" @default.
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