Digital Surface Regularization With Guarantees
Jan 1, 2021·
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0 min read
David Coeurjolly
Jacques-Olivier Lachaud
Pierre Gueth

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 quadrangulated surface from a digital surface. More formally we propose a variational formulation which efficiently regularizes digital surface vertices while complying with a prescribed, eventually anisotropic, input normal vector field estimated on the digital structure. Beside visualization 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).
Type
Publication
IEEE Trans. Vis. Comput. Graph., 27(6): 2896-2907, 2021
Digital Surface
Reconstruction
Variational Model
Digital Geometry
Discrete Geometric Estimator
Piecewise Smooth Reconstruction
Authors
Professor of Computer Science
My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.