Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Exploring Local Modifications for Constrained Meshes

Deng, Bailin ORCID: https://orcid.org/0000-0002-0158-7670, Bouaziz, Sofien, Deuss, Mario, Zhang, Juyong, Schwartzburg, Yuliy and Pauly, Mark 2013. Exploring Local Modifications for Constrained Meshes. Computer graphics forum 32 (2pt1) , pp. 11-20. 10.1111/cgf.12021

Full text not available from this repository.

Abstract

Mesh editing under constraints is a challenging task with numerous applications in geometric modeling, industrial design, and architectural form finding. Recent methods support constraint-based exploration of meshes with fixed connectivity, but commonly lack local control. Because constraints are often globally coupled, a local modification by the user can have global effects on the surface, making iterative design exploration and refinement difficult. Simply fixing a local region of interest a priori is problematic, as it is not clear in advance which parts of the mesh need to be modified to obtain an aesthetically pleasing solution that satisfies all constraints. We propose a novel framework for exploring local modifications of constrained meshes. Our solution consists of three steps. First, a user specifies target positions for one or more vertices. Our algorithm computes a sparse set of displacement vectors that satisfies the constraints and yields a smooth deformation. Then we build a linear subspace to allow realtime exploration of local variations that satisfy the constraints approximately. Finally, after interactive exploration, the result is optimized to fully satisfy the set of constraints. We evaluate our framework on meshes where each face is constrained to be planar.

Item Type: Article
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: John Wiley & Sons
ISSN: 0167-7055
Last Modified: 21 Oct 2022 06:50
URI: https://orca.cardiff.ac.uk/id/eprint/98574

Citation Data

Cited 30 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item