The algorithmic beauty of plants
The algorithmic beauty of plants
3D Symmetry Detection Using The Extended Gaussian Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symmetry Identification of a 3-D Object Represented by Octree
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2003 Papers
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Accurate detection of symmetries in 3D shapes
ACM Transactions on Graphics (TOG)
Partial and approximate symmetry detection for 3D geometry
ACM SIGGRAPH 2006 Papers
A Symmetry Preserving Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
Image-based procedural modeling of facades
ACM SIGGRAPH 2007 papers
IEEE Transactions on Computers
Discovering structural regularity in 3D geometry
ACM SIGGRAPH 2008 papers
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How we perceive the world is strongly governed by symmetry. Symmetry presents itself in both natural and man-made structures giving aesthetic appeal to the world. This paper presents an approach to form intuitive tree based representations that minimally describe input patterns. We explore how new hybrid patterns can be generated by grafting different symmetry trees together. A new algorithm is proposed to generate new hybrid patterns that maintain the overall appearance of the inputs while allowing control over the amount of variation generated.