Local features Motion vector estimation Large displacement Geodesic distance candidate selection
D. Ring and F. Pitie, Feature-Assisted Sparse to Dense Motion Estimation using Geodesic Distances., IEEE Irish Machine Vision and Image Processing conference (IMVIP '09, Dublin, Ireland, September 2-4, IEEE, 2009, 7-12
Large motion displacements in image sequences
are still a problem for most motion estimation techniques.
Progress in feature matching allows to establish robust correspondences
between images for a sparse set of points. Recent
works have attempted to use this sparse information to guide
the dense motion field estimation. We propose to achieve
this in an extended motion estimation framework, which
integrates information about the geodesic distance to the sparse
features. Results show that by considering a handful of these
feature matches, the geodesic distance is able to propagate the
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