TY - JOUR
T1 - Directional field synthesis, design, and processing
AU - Vaxman, Amir
AU - Campen, Marcel
AU - Diamanti, Olga
AU - Panozzo, Daniele
AU - Bommes, David
AU - Hildebrandt, Klaus
AU - Ben-Chen, Mirela
N1 - Funding Information:
The authors would like to thank Olga Sorkine-Hornung and Keenan Crane for their insightful comments, Marco Tarini, Nico Pietroni, Wenzel Jakob and Kevin Wallimann for contributing their implementations. This work was supported in part by the ERC Starting Grant iModel (StG-2012-306877), the German Research Foundation (DFG grant GSC 111 Aachen Institute for Advanced Study in Computational Engineering Science), ISF grant 699/12, and Marie Curie CIG 303511.
Publisher Copyright:
© 2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - Direction fields and vector fields play an increasingly important role in computer graphics and geometry processing. The synthesis of directional fields on surfaces, or other spatial domains, is a fundamental step in numerous applications, such as mesh generation, deformation, texture mapping, and many more. The wide range of applications resulted in definitions for many types of directional fields: from vector and tensor fields, over line and cross fields, to frame and vector-set fields. Depending on the application at hand, researchers have used various notions of objectives and constraints to synthesize such fields. These notions are defined in terms of fairness, feature alignment, symmetry, or field topology, to mention just a few. To facilitate these objectives, various representations, discretizations, and optimization strategies have been developed. These choices come with varying strengths and weaknesses. This report provides a systematic overview of directional field synthesis for graphics applications, the challenges it poses, and the methods developed in recent years to address these challenges.
AB - Direction fields and vector fields play an increasingly important role in computer graphics and geometry processing. The synthesis of directional fields on surfaces, or other spatial domains, is a fundamental step in numerous applications, such as mesh generation, deformation, texture mapping, and many more. The wide range of applications resulted in definitions for many types of directional fields: from vector and tensor fields, over line and cross fields, to frame and vector-set fields. Depending on the application at hand, researchers have used various notions of objectives and constraints to synthesize such fields. These notions are defined in terms of fairness, feature alignment, symmetry, or field topology, to mention just a few. To facilitate these objectives, various representations, discretizations, and optimization strategies have been developed. These choices come with varying strengths and weaknesses. This report provides a systematic overview of directional field synthesis for graphics applications, the challenges it poses, and the methods developed in recent years to address these challenges.
UR - http://www.scopus.com/inward/record.url?scp=84971273185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84971273185&partnerID=8YFLogxK
U2 - 10.1111/cgf.12864
DO - 10.1111/cgf.12864
M3 - Article
AN - SCOPUS:84971273185
SN - 0167-7055
VL - 35
SP - 545
EP - 572
JO - Computer Graphics Forum
JF - Computer Graphics Forum
IS - 2
ER -