Add to ORKGAbstract. The aim of this paper is to extend the method of modelling scattered data by free-from surfaces presented in [7]. In that paper the Kohonen neural network was used for ordering the data from the scattered points. After the ordering process the B-spline curve or surface approximation and interpolation methods can be applicable also for scattered input points. In this paper we extend this method to solve this problem in case of infinite set of data getting from a cloud of points. A given B–spline curve can also be reconstructed by our method with the help of the Kohonen network. AMS Classification Number: 68U05 1
We present a new approach for reconstructing a smooth surface from a set of scattered points in thre...
We present a new approach for reconstructing a smooth surface from a set of scattered points in thre...
Non-uniform rational B-spline (NURBS) surface fitting from data points is wildly used in the fields ...
The aim of this paper is to extend the method of modelling scattered databy free-from surfac...
This paper gives a new approach of the two dimensional scattered data manipulation. The standard app...
This work introduces a new method for surface reconstruction based on hybrid soft computing techniqu...
Curve network reconstruction from a set of unorganized points is an important problem in reverse eng...
We study the use of neural network algorithms in surface reconstruction from an unorganized point cl...
Neural networks are an attempt to build computer networks called artificial neurons, which imitate t...
We introduce a novel technique for surface reconstruction from unorganized points by applying Kohone...
Abstract: We present a multiresolution surface reconstruction method from point clouds in 3D space b...
General and special ruled surfaces play a central role in several CADapplications. The pu...
Digitization devices and scanners generate very large point sets representing complicated geometric ...
We present a new approach for reconstructing a smooth surface from a set of scattered points in thre...
The surface reconstruction from cloud of points is a problem, which can be encountered in many appli...
We present a new approach for reconstructing a smooth surface from a set of scattered points in thre...
We present a new approach for reconstructing a smooth surface from a set of scattered points in thre...
Non-uniform rational B-spline (NURBS) surface fitting from data points is wildly used in the fields ...
The aim of this paper is to extend the method of modelling scattered databy free-from surfac...
This paper gives a new approach of the two dimensional scattered data manipulation. The standard app...
This work introduces a new method for surface reconstruction based on hybrid soft computing techniqu...
Curve network reconstruction from a set of unorganized points is an important problem in reverse eng...
We study the use of neural network algorithms in surface reconstruction from an unorganized point cl...
Neural networks are an attempt to build computer networks called artificial neurons, which imitate t...
We introduce a novel technique for surface reconstruction from unorganized points by applying Kohone...
Abstract: We present a multiresolution surface reconstruction method from point clouds in 3D space b...
General and special ruled surfaces play a central role in several CADapplications. The pu...
Digitization devices and scanners generate very large point sets representing complicated geometric ...
We present a new approach for reconstructing a smooth surface from a set of scattered points in thre...
The surface reconstruction from cloud of points is a problem, which can be encountered in many appli...
We present a new approach for reconstructing a smooth surface from a set of scattered points in thre...
We present a new approach for reconstructing a smooth surface from a set of scattered points in thre...
Non-uniform rational B-spline (NURBS) surface fitting from data points is wildly used in the fields ...