TY - GEN
T1 - Directional field synthesis, design, and processing
AU - Vaxman, A.
AU - Campen, M.
AU - Diamanti, O.
AU - Panozzo, D.
AU - Bommes, D.
AU - Hildebrandt, K.
AU - Ben-Chen, M.
AU - Vaxman, A.
AU - Campen, M.
AU - Diamanti, O.
AU - Bommes, D.
AU - Hildebrandt, K.
AU - Ben-Chen, M.
AU - Panozzo, D.
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.
PY - 2017/7/30
Y1 - 2017/7/30
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 course 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 course 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=85033396214&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85033396214&partnerID=8YFLogxK
U2 - 10.1145/3084873.3084921
DO - 10.1145/3084873.3084921
M3 - Conference contribution
AN - SCOPUS:85033396214
T3 - ACM SIGGRAPH 2017 Courses, SIGGRAPH 2017
BT - ACM SIGGRAPH 2017 Courses, SIGGRAPH 2017
PB - Association for Computing Machinery, Inc
T2 - ACM SIGGRAPH 2017 Courses - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2017
Y2 - 30 July 2017 through 3 August 2017
ER -