Topology Robust Intrinsic Symmetries of Non-rigid Shapes Based on Diffusion Distances

نویسندگان

  • Dan Raviv
  • Alexander M. Bronstein
  • Michael M. Bronstein
  • Ron Kimmel
  • Guillermo Sapiro
چکیده

Detection and modeling of self-similarity and symmetry is important in shape recognition, matching, synthesis, and reconstruction. While the detection of rigid shape symmetries is well established, the study of symmetries in non-rigid shapes is a much less researched problem. A particularly challenging setting is the detection of symmetries in non-rigid shapes affected by topological noise and asymmetric connectivity. In this paper, we treat 1 Te ch ni on Co m pu te r S ci en ce D ep ar tm en t T ec hn ic al R ep or t CI S20 09 -2 0 2 00 9

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تاریخ انتشار 2009