Mesh Simplification for Unfolding<sup>*</sup>

Abstract We present a computational approach for unfolding 3D shapes isometrically into the plane as a single patch without overlapping triangles. This is a hard, sometimes impossible, problem, which existing methods are forced to soften by allowing for map distortions or multiple patches. Instead, we propose a geometric relaxation of the problem: We modify the input shape until it admits an overlap‐free unfolding. We achieve this by locally displacing vertices and collapsing edges, guided by the unfolding process. We validate our algorithm quantitatively and qualitatively on a large dataset of complex shapes and show its proficiency by fabricating real shapes from paper.

Authors

Institutions

Publication Details

Journal
Computer Graphics Forum
Published
2024-11-15
DOI
https://doi.org/10.1111/cgf.15269
Citations
2
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
1.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mesh Simplification for Unfolding*

Bernd Bickel, Camille Schreck, M. Freire, Silvia Sellán et al.
2 citations
Computer Graphics Forum
Computer Graphics and Visualization Techniques
1.26
article

Mesh Simplification for Unfolding*

Bernd Bickel, Camille Schreck, M. Freire, Silvia Sellán, Pierre-Alexandre Hugron, Sylvain Lefèbvre, Manas Bhargava
article en
2 citations

Abstract

Abstract We present a computational approach for unfolding 3D shapes isometrically into the plane as a single patch without overlapping triangles. This is a hard, sometimes impossible, problem, which existing methods are forced to soften by allowing for map distortions or multiple patches. Instead, we propose a geometric relaxation of the problem: We modify the input shape until it admits an overlap‐free unfolding. We achieve this by locally displacing vertices and collapsing edges, guided by the unfolding process. We validate our algorithm quantitatively and qualitatively on a large dataset of complex shapes and show its proficiency by fabricating real shapes from paper.

Computer Graphics ForumVol. 44(1)
Centre National de la Recherche Scientifique (FR), Institute of Science and Technology Austria (AT), University of Toronto (CA), Canada Research Chairs (CA), ETH Zurich (CH), Massachusetts Institute of Technology (US), Université de Lorraine (FR)
Institut national de recherche en informatique et en automatique (INRIA), Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 11%
Computer Graphics and Visualization Techniques
1.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.