As-Rigid-As-Possible Shape Interpolation

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5 Scopus citations

Abstract

We present an object-space morphing technique that blends the interiors of given two- or three-dimensional shapes rather than their boundaries. The morph is rigid in the sense that local volumes are least-distorting as they vary from their source to target configurations. Given a boundary vertex correspondence, the source and target shapes are decomposed into isomorphic simplicial complexes. For the simplicial complexes, we find a closed-form expression allocating the paths of both boundary and interior vertices from source to target locations as a function of time. Key points are the identification of the optimal simplex morphing and the appropriate definition of an error functional whose minimization defines the paths of the vertices. Each pair of corresponding simplices defines an affine transformation, which is factored into a rotation and a stretching transformation. These local transformations are naturally interpolated over time and serve as the basis for composing a global coherent least-distorting transformation.

Original languageEnglish
Title of host publicationSIGGRAPH 2000 - Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques
PublisherAssociation for Computing Machinery, Inc
Pages157-164
Number of pages8
ISBN (Electronic)1581132085, 9781581132083
DOIs
StatePublished - 1 Jul 2000
Event27th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2000 - New Orleans, United States
Duration: 23 Jul 200028 Jul 2000

Publication series

NameSIGGRAPH 2000 - Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques

Conference

Conference27th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2000
Country/TerritoryUnited States
CityNew Orleans
Period23/07/0028/07/00

Funding

FundersFunder number
Academy of Leisure Sciences
Tel Aviv University

    Keywords

    • compatible triangulation
    • shape blending
    • vertex path problem

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