Efficient Interpolation of Articulated Shapes Using Mixed Shape Spaces

Interpolation between compatible triangle meshes that represent different poses of some object is a fundamental operation in geometry processing. A common approach is to consider the static input shapes as points in a suitable shape space and then use simple linear interpolation in this space to fin...

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Bibliographic Details
Published in:Computer graphics forum Vol. 32; no. 8; pp. 258 - 270
Main Authors: Marras, S., Cashman, T. J., Hormann, K.
Format: Journal Article
Language:English
Published: Oxford Blackwell Publishing Ltd 01.12.2013
Subjects:
Analysis
Articulated
Compatibility
computational geometry
Computer graphics
digital geometry processing
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Hierarchy and geometric transformations
Interpolation
shape blending/morphing
State of the art
Studies
Triangles
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:Interpolation between compatible triangle meshes that represent different poses of some object is a fundamental operation in geometry processing. A common approach is to consider the static input shapes as points in a suitable shape space and then use simple linear interpolation in this space to find an interpolated shape. In this paper, we present a new interpolation technique that is particularly tailored for meshes that represent articulated shapes. It is up to an order of magnitude faster than state‐of‐the‐art methods and gives very similar results. To achieve this, our approach introduces a novel shape space that takes advantage of the underlying structure of articulated shapes and distinguishes between rigid parts and non‐rigid joints. This allows us to use fast vertex interpolation on the rigid parts and resort to comparatively slow edge‐based interpolation only for the joints. Interpolation between compatible triangle meshes that represent different poses of some object is a fundamental operation in geometry processing. A common approach is to consider the static input shapes as points in a suitable shape space and then use simple linear interpolation in this space to find an interpolated shape. In this paper, we present a new interpolation technique that is particularly tailored for meshes that represent articulated shapes. It is up to an order of magnitude faster than state‐of‐the‐art methods and gives very similar results. To achieve this, our approach introduces a novel shape space that takes advantage of the underlying structure of articulated shapes and distinguishes between rigid parts and non‐rigid joints.
Bibliography:ark:/67375/WNG-JXBVNF2C-B
ArticleID:CGF12202
istex:00B381D9CCC8D1BDE0056628FFB4E0B3F972301A
SNF - No. 200021-134639
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12202