Skip to Main content Skip to Navigation
New interface
Conference papers

Digital surface regularization by normal vector field alignment

Abstract : Digital objects and digital surfaces are isothetic structures per se. Such surfaces are thus not adapted to direct visualization with isothetic quads, or to many geometry processing methods. We propose a new regularization technique to construct a piecewise smooth quad-rangulated surface from a digital surface. More formally we propose a variational formulation which efficiently regularizes digital surface ver-tices while complying with a prescribed, eventually anisotropic, input normal vector field estimated on the digital structure. Beside visualiza-tion purposes, such regularized surface can then be used in any geometry processing tasks which operates on triangular or quadrangular meshes (e.g. compression, texturing, anisotropic smoothing, feature extraction).
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
Contributor : David Coeurjolly Connect in order to contact the contributor
Submitted on : Tuesday, June 20, 2017 - 1:31:19 PM
Last modification on : Friday, September 30, 2022 - 11:34:16 AM
Long-term archiving on: : Saturday, December 16, 2017 - 7:46:35 AM


Files produced by the author(s)



David Coeurjolly, Pierre Gueth, Jacques-Olivier Lachaud. Digital surface regularization by normal vector field alignment. 20th International Conference on Discrete Geometry for Computer Imagery, 2017, Vienna, Austria. pp.197--209, ⟨10.1007/978-3-319-66272-5_17⟩. ⟨hal-01543007⟩



Record views


Files downloads