<p>(a) Proposed smoothing algorithm. (b) HC Laplacian smoothing algorithm. (c) Algebraic point set surface smoothing algorithm.</p
The method of regularization is portrayed as providing a compromise between fidelity to the data and...
The basic kernel density estimator in one dimension has a single smoothing parameter, usually referr...
To smooth noises inherent in uniformly sampled dataset, the smoothness of high accuracy surface mode...
<p>(a) Proposed smoothing algorithm. (b) HC Laplacian smoothing algorithm. (c) Algebraic point set s...
We consider several conventional mesh smoothing approaches such as the Laplacian and bilaplacian smo...
The statistical range was substituted for the variance in local noise smoothing algorithms proposed ...
Edge-preserving smoothing techniques are compared by considering a test image which contains a centr...
A quantitative evaluation of several edge-preserving noise-smoothing techniques is presented. All of...
summary:A bicubic model for local smoothing of surfaces is constructed on the base of pivot points. ...
<p>This article discusses a general framework for smoothing parameter estimation for models with reg...
A comparison paper is presented to evaluate the result from five smoothing filters. The filters are ...
This paper presents a technique for smoothing polygonal surface meshes that avoids the well-known pr...
A simple method for smoothing noisy data is to use a moving average. The original data is partitione...
Bibliography: p. 16.National Science Foundation grant ECS-83-12921 Army Research Office grant DAAG-2...
Due to the poor quality of many nuclear medicine images, computer-driven smoothing procedures are fr...
The method of regularization is portrayed as providing a compromise between fidelity to the data and...
The basic kernel density estimator in one dimension has a single smoothing parameter, usually referr...
To smooth noises inherent in uniformly sampled dataset, the smoothness of high accuracy surface mode...
<p>(a) Proposed smoothing algorithm. (b) HC Laplacian smoothing algorithm. (c) Algebraic point set s...
We consider several conventional mesh smoothing approaches such as the Laplacian and bilaplacian smo...
The statistical range was substituted for the variance in local noise smoothing algorithms proposed ...
Edge-preserving smoothing techniques are compared by considering a test image which contains a centr...
A quantitative evaluation of several edge-preserving noise-smoothing techniques is presented. All of...
summary:A bicubic model for local smoothing of surfaces is constructed on the base of pivot points. ...
<p>This article discusses a general framework for smoothing parameter estimation for models with reg...
A comparison paper is presented to evaluate the result from five smoothing filters. The filters are ...
This paper presents a technique for smoothing polygonal surface meshes that avoids the well-known pr...
A simple method for smoothing noisy data is to use a moving average. The original data is partitione...
Bibliography: p. 16.National Science Foundation grant ECS-83-12921 Army Research Office grant DAAG-2...
Due to the poor quality of many nuclear medicine images, computer-driven smoothing procedures are fr...
The method of regularization is portrayed as providing a compromise between fidelity to the data and...
The basic kernel density estimator in one dimension has a single smoothing parameter, usually referr...
To smooth noises inherent in uniformly sampled dataset, the smoothness of high accuracy surface mode...
DOI
Add to ORKG