Spectral gradient fields embedding for nonrigid shape matching

Alon Shtern, Ron Kimmel

Research output: Contribution to journalArticlepeer-review


A popular approach for finding the correspondence between two nonrigid shapes is to embed their two-dimensional surfaces into some common Euclidean space, defining the comparison task as a problem of rigid matching in that space. We propose to extend this line of thought and introduce a novel spectral embedding, which exploits gradient fields for point to point matching. With this new embedding, a fully automatic system for finding the correspondence between shapes is introduced. The method is demonstrated to accurately recover the natural maps between nearly isometric surfaces and shown to achieve state-of-the-art results on known shape matching benchmarks.

Original languageEnglish
Pages (from-to)21-29
Number of pages9
JournalComputer Vision and Image Understanding
StatePublished - 1 Nov 2015


  • Correspondence
  • Laplace-Beltrami operator
  • Shape embedding

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

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