Deformation-driven shape correspondence

H. Zhang, A. Sheffer, D. Cohen-Or, Q. Zhou, O. van Kaick, A. Tagliasacchi

Research output: Contribution to journalArticlepeer-review


Non-rigid 3D shape correspondence is a fundamental and difficult problem. Most applications which require a correspondence rely on manually selected markers. Without user assistance, the performances of existing automatic correspondence methods depend strongly on a good initial shape alignment or shape prior, and they generally do not tolerate large shape variations. We present an automatic feature correspondence algorithm capable of handling large, non-rigid shape variations, as well as partial matching. This is made possible by leveraging the power of state-of-the-art mesh deformation techniques and relying on a combinatorial tree traversal for correspondence search. The search is deformation-driven, prioritized by a self-distortion energy measured on meshes deformed according to a given correspondence. We demonstrate the ability of our approach to naturally match shapes which differ in pose, local scale, part decomposition, and geometric detail through numerous examples.

Original languageEnglish
Pages (from-to)1431-1439
Number of pages9
JournalEurographics Symposium on Geometry Processing
Issue number5
StatePublished - 2008


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