Keenan Crane

CARNEGIE MELLON UNIVERSITY

Stripe Patterns on Surfaces

SIGGRAPH 2015 / ACM Transactions on Graphics 2015

Stripe patterns are ubiquitous in nature, describing macroscopic phenomena such as stripes on plants and animals, down to material impurities on the atomic scale. We propose an algorithm for synthesizing stripe patterns on triangulated surfaces, where branch points are automatically inserted in order to achieve user-specified orientation and line spacing. Patterns are characterized as global minimizers of a simple convex-quadratic energy which is well-defined in the smooth setting. Computation amounts to finding the smallest eigenvector of a symmetric positive-definite matrix with the same sparsity pattern as the standard graph Laplacian. The resulting patterns are globally continuous, and can be applied to a variety of tasks in design and texture synthesis.

@article{Knoppel:2015:SPS,
author = {Kn\"{o}ppel, Felix and Crane, Keenan and Pinkall, Ulrich and Schr\"{o}der, Peter},
title = {Stripe Patterns on Surfaces},
journal = {ACM Trans. Graph.},
volume = {34},
issue = {4},
year = {2015},
publisher = {ACM},
address = {New York, NY, USA},
}

stripes— | C++ reference implementation. Automatically generates a stripe pattern on a given triangle mesh, with optional editing of input singularities. Also includes variants of our algorithms for provably optimal direction field generation and singularity editing, which are used to generate the input field. Depends on SuiteSparse for numerical linear algebra, and OpenGL/GLUT for visualization. |

StripePatterns— | Mac OS X executable. (Just a compiled version of the code above!) |

Video

High-Res Images

One of our results was featured on the cover of the SIGGRAPH proceedings (left)—here's the cover image and some additional figures in high-resolution (2880x1800): Photo of real mug (left) courtesy DJ Crane. The “Blub” model can be downloaded from the 3D Model Repository. |

Slides

This work was supported by the DFG Collaborative Research Center TRR 109, “Discretization in Geometry and Dynamics,” an NSF Mathematical Sciences Postdoctoral Research Fellowship (Award #1304254), and Intel. Meshes in Figs. 2, 14, 18, 22 are courtesy the Stanford Computer Graphics Lab; in Figs. 5, 15, 16, 17 courtesy AIM@Shape; and in Fig. 21 courtesy Martin Newell.

This material is based upon work supported by the National Science Foundation under Grant Number 1304254. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Figures