@article{ ISI:000344369200013,
Author = {Sahillioglu, Y. and Yemez, Y.},
Title = {{Multiple Shape Correspondence by Dynamic Programming}},
Journal = {{COMPUTER GRAPHICS FORUM}},
Year = {{2014}},
Volume = {{33}},
Number = {{7}},
Pages = {{121-130}},
Month = {{OCT}},
Abstract = {{We present a multiple shape correspondence method based on dynamic
   programming, that computes consistent bijective maps between all shape
   pairs in a given collection of initially unmatched shapes. As a
   fundamental distinction from previous work, our method aims to
   explicitly minimize the overall distortion, i.e., the average isometric
   distortion of the resulting maps over all shape pairs. We cast the
   problem as optimal path finding on a graph structure where vertices are
   maps between shape extremities. We exploit as much context information
   as possible using a dynamic programming based algorithm to approximate
   the optimal solution. Our method generates coarse multiple
   correspondences between shape extremities, as well as denser
   correspondences as by-product. We assess the performance on various mesh
   sequences of (nearly) isometric shapes. Our experiments show that, for
   isometric shape collections with non-uniform triangulation and noise,
   our method can compute relatively dense correspondences reasonably fast
   and outperform state of the art in terms of accuracy.}},
DOI = {{10.1111/cgf.12480}},
ISSN = {{0167-7055}},
EISSN = {{1467-8659}},
Unique-ID = {{ISI:000344369200013}},
}

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