Free-form deformation of solid geometric models
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Computing a sparse basis for the null space
SIAM Journal on Algebraic and Discrete Methods
Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Style Grammars for Interactive Visualization of Architecture
IEEE Transactions on Visualization and Computer Graphics
On Linear Variational Surface Deformation Methods
IEEE Transactions on Visualization and Computer Graphics
Discovering structural regularity in 3D geometry
ACM SIGGRAPH 2008 papers
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
Non-homogeneous resizing of complex models
ACM SIGGRAPH Asia 2008 papers
iWIRES: an analyze-and-edit approach to shape manipulation
ACM SIGGRAPH 2009 papers
Joint-aware manipulation of deformable models
ACM SIGGRAPH 2009 papers
A connection between partial symmetry and inverse procedural modeling
ACM SIGGRAPH 2010 papers
Metropolis procedural modeling
ACM Transactions on Graphics (TOG)
Pattern-aware shape deformation using sliding dockers
Proceedings of the 2011 SIGGRAPH Asia Conference
Shape space exploration of constrained meshes
Proceedings of the 2011 SIGGRAPH Asia Conference
Structure-preserving retargeting of irregular 3D architecture
Proceedings of the 2011 SIGGRAPH Asia Conference
Procedural facade variations from a single layout
ACM Transactions on Graphics (TOG)
Layered analysis of irregular facades via symmetry maximization
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Proceedings of the 6th International Symposium on Visual Information Communication and Interaction
Structure-aware shape processing
SIGGRAPH Asia 2013 Courses
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We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic model of shape structure that characterizes shapes in terms of linked translational patterns. The space of shapes that conform to this characterization is parameterized by a small set of numerical parameters bounded by a set of linear constraints. This convex space permits a direct exploration of variations of the input shape. We use this representation to develop a robust interactive system that allows shapes to be intuitively manipulated through sparse constraints.