Title
Developable Approximation Via Gauss Image Thinning
Abstract
Approximating 3D shapes with piecewise developable surfaces is an active research topic, driven by the benefits of developable geometry in fabrication. Piecewise developable surfaces are characterized by having a Gauss image that is a 1D object - a collection of curves on the Gauss sphere. We present a method for developable approximation that makes use of this classic definition from differential geometry. Our algorithm is an iterative process that alternates between thinning the Gauss image of the surface and deforming the surface itself to make its normals comply with the Gauss image. The simple, local-global structure of our algorithm makes it easy to implement and optimize. We validate our method on developable shapes with added noise and demonstrate its effectiveness on a variety of non-developable inputs. Compared to the state of the art, our method is more general, tessellation independent, and preserves the input mesh connectivity.
Year
DOI
Venue
2021
10.1111/cgf.14374
COMPUTER GRAPHICS FORUM
Keywords
DocType
Volume
<bold>CCS Concepts</bold>, center dot <bold>Computing methodologies</bold> -> <bold>Shape modeling, Mesh geometry models</bold>
Journal
40
Issue
ISSN
Citations 
5
0167-7055
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Alexandre Binninger100.68
Floor Verhoeven200.68
Philipp Herholz301.01
Olga Sorkine44309173.10