Deformation-Driven Shape Correspondence
| dc.contributor.author | Zhang, H. | en_US |
| dc.contributor.author | Sheffer, A. | en_US |
| dc.contributor.author | Cohen-Or, D. | en_US |
| dc.contributor.author | Zhou, Q. | en_US |
| dc.contributor.author | Van Kaick, O. | en_US |
| dc.contributor.author | Tagliasacchi, A. | en_US |
| dc.date.accessioned | 2015-02-21T17:32:30Z | |
| dc.date.available | 2015-02-21T17:32:30Z | |
| dc.date.issued | 2008 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.number | 5 | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 27 | en_US |
| dc.identifier.doi | 10.1111/j.1467-8659.2008.01283.x | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.pages | 1431-1439 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2008.01283.x | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd | en_US |
| dc.title | Deformation-Driven Shape Correspondence | en_US |