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Pattern-Aware Shape Deformation Using Sliding Dockers

delete2011-12-12
delete45
PRE
AI
M
Michael Wand
V
Vladlen Koltun
H
Hans‐Peter Seidel
DOI:10.1145/2024156.2024157delete
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Abstract

Abstract

En 中文
This paper introduces a new structure-aware shape deformation technique. The key idea is to detect continuous and discrete regular patterns and ensure that these patterns are preserved during free-form deformation. We propose a variational deformation model that preserves these structures, and a discrete algorithm that adaptively inserts or removes repeated elements in regular patterns to minimize distortion. As a tool for such structural adaptation, we introduce sliding dockers, which represent repeatable elements that fit together seamlessly for arbitrary repetition counts. We demonstrate the presented approach on a number of complex 3D models from commercial shape libraries.
Keywords:
shape deformation
shape analysis
symmetry
structural regularity

Journal

ACM Transactions on Graphics cover
ACM Transactions on Graphics
IF:
9.5
Papers:
4.7K
Citations:
3.6W

Organization

S
Stanford University
Scholars:
9.6W
Papers: 8.2W
Citations: 17.0W
M
Max Planck Society
Scholars:
8.2W
Papers: 7.7W
Citations: 3.3W