Topology-constrained Synthesis of Vector Patterns

Shizhe Zhou, Changyun Jiang, Sylvain Lefebvre

ACM Transactions on Graphics, 33 (6), 2014, (Proc. SIGGRAPH ASIA 2014)

Abstract:

Decorative patterns are observed in many forms of art, typically enriching the visual aspect of otherwise simple shapes. Such patterns are especially difficult to create, as they often exhibit intricate structural details and at the same time have to precisely match the size and shape of the underlying geometry. In the field of Computer Graphics, several approaches have been proposed to automatically synthesize a decorative pattern along a curve, from an example. This empowers non expert users with a simple brush metaphor, allowing them to easily paint complex structured decorations.

We extend this idea to the space of design and fabrication. The major challenge is to properly account for the topology of the produced patterns. In particular, our technique ensures that synthesized patterns will be made of exactly one connected component, so that once printed they form a single object. To achieve this goal we propose a two steps synthesis process, first synthesizing the topology of the pattern and later synthesizing its exact geometry. We introduce topology descriptors that efficiently capture the topology of the pattern synthesized so far.

We propose several applications of our method, from designing objects using synthesized patterns along curves and within rectangles, to the decoration of surfaces with a dedicated smooth frame interpolation.Using our technique, designers paint structured patterns that can be fabricated into solid, tangible objects, creating unusual and surprising designs of lamps, chairs and laces from examples.


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Bibtex

 
@article{Zhou2014,
author = {Shizhe Zhou and Changyun Jiang and Sylvain Lefebvre},
title = {Topology-constrained Synthesis of Vector Patterns},
journal = {ACM Transactions on Graphics (Proc. SIGGRAPH Aisa)},
volume = {33},
issue = {6},
pages = {},
year = {2014}
}

 

Acknowledgement:

We would like to thank Jiansong Deng and Ligang Liu for their insightful comments.This work is partly supported by ERC grant ShapeForge (StG-2012-307877).Shizhe Zhou is supported by the grant of National Science Foundation of China (No.61303147).

@All Rights Reserved, Shizhe Zhou, USTC , 2014.