One challenge in surface restoration is to design surface diffusion preserving ridges and sharp corners. In this paper, we propose a new surface restoration model based on the observation that surfaces' implicit representations are continuous functions whose first order derivatives have discontinuities at ridges and sharp corners. Regularized by vectorial total variation on the derivatives of surfaces' implicit representation functions, the proposed model has ridge and corner preserving properties validated by numerical experiments. To solve the proposed fourth order and convex problem efficiently, we further design a numerical algorithm based on the augmented Lagrangian method. Moreover, the theoretical convergence analysis of the proposed...
We propose a new variational model for surface fairing. We extend nonlocal smoothing techniques for ...
This paper develops techniques to locally control curvature and continuity in particle-based surface...
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated dat...
We use various partial differential equation (PDE) models to efficiently solve several surface proce...
In this article, a new method for segmentation and restoration of images on two-dimensional surfaces...
We present a general method for automatic reconstruction of accurate, concise, piecewise smooth surf...
Abstract Recently total variation (TV) regularization has been proven very successful in image resto...
As a fundamental geometry processing task and a typical reverse engineering, surface reconstruction ...
Journal ArticleFor 3D surface reconstruction problems with noisy and incomplete range data measured ...
Recently total variation (TV) regularization has been proven very successful in image restoration an...
We propose a variational method for recovering discrete sur- faces from noisy observations which pr...
In this thesis the problem of localizing discontinuities while smoothing noisy data is solved for th...
In this paper we show how the Mumford-Shah functional can be used to de-rive diffusion kernels that ...
A stable algorithm is proposed for image restoration based on the “mean curvature motion” equation. ...
The problem of reconstructing a watertight surface from a finite set of oriented points has received...
We propose a new variational model for surface fairing. We extend nonlocal smoothing techniques for ...
This paper develops techniques to locally control curvature and continuity in particle-based surface...
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated dat...
We use various partial differential equation (PDE) models to efficiently solve several surface proce...
In this article, a new method for segmentation and restoration of images on two-dimensional surfaces...
We present a general method for automatic reconstruction of accurate, concise, piecewise smooth surf...
Abstract Recently total variation (TV) regularization has been proven very successful in image resto...
As a fundamental geometry processing task and a typical reverse engineering, surface reconstruction ...
Journal ArticleFor 3D surface reconstruction problems with noisy and incomplete range data measured ...
Recently total variation (TV) regularization has been proven very successful in image restoration an...
We propose a variational method for recovering discrete sur- faces from noisy observations which pr...
In this thesis the problem of localizing discontinuities while smoothing noisy data is solved for th...
In this paper we show how the Mumford-Shah functional can be used to de-rive diffusion kernels that ...
A stable algorithm is proposed for image restoration based on the “mean curvature motion” equation. ...
The problem of reconstructing a watertight surface from a finite set of oriented points has received...
We propose a new variational model for surface fairing. We extend nonlocal smoothing techniques for ...
This paper develops techniques to locally control curvature and continuity in particle-based surface...
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated dat...