Efficient High Order Matching

  title={Efficient High Order Matching},
  author={Michael Chertok and Yosi Keller},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
We present a computational approach to high-order matching of data sets in Rd. Those are matchings based on data affinity measures that score the matching of more than two pairs of points at a time. High-order affinities are represented by tensors and the matching is then given by a rank-one approximation of the affinity tensor and a corresponding discretization. Our approach is rigorously justified by extending Zass and Shashua's hypergraph matching to high-order spectral matching. This paves… CONTINUE READING
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