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SCALESPACE
2015
Springer

Edge-Preserving Integration of a Normal Field: Weighted Least-Squares, TV and L^1 Approaches

3 years 3 months ago
Edge-Preserving Integration of a Normal Field: Weighted Least-Squares, TV and L^1 Approaches
Abstract. We introduce several new functionals, inspired from variational image denoising models, for recovering a piecewise-smooth surface from a dense estimation of its normal field1 . In the weighted least-squares approach, the non-differentiable elements of the surface are a priori detected so as to weight the least-squares model. To avoid this detection step, we introduce reweighted least-squares for minimising an isotropic TV-like functional, and split-Bregman iterations for L1 minimisation.
Yvain Quéau, Jean-Denis Durou
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where SCALESPACE
Authors Yvain Quéau, Jean-Denis Durou
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