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Left: Skeletal matching for an example pair of plant point clouds with the variables involved. Right: Hidden Markov model (HMM) used for correspondence estimation. We only show a subset of the hidden variables, i.e. the potential correspondences, in the HMM. The red line depicts the sequence of best correspondence estimated by the Viterbi algorithm. This produces the correspondences between and visualized with the dash-lined arrows on the left.
