The aim of this paper is to extend the method of modelling scattered databy free-from surfaces presented in [7]. In that paper the Kohonen neural network was used forordering the data from the scattered points. After the ordering process the B-spline curve orsurface 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 gettingfrom a cloud of points. A given B–spline curve can also be reconstructed by our method with thehelp of the Kohonen network
AbstractCurve reconstruction algorithms are supposed to reconstruct curves from point samples. Recen...
Digitization devices and scanners generate very large point sets representing complicated geometric ...
This paper describes a fast algorithm for scattered data interpolation and approximation. Multilevel...
Abstract. The aim of this paper is to extend the method of modelling scattered data by free-from sur...
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...
General and special ruled surfaces play a central role in several CADapplications. The pu...
Curve network reconstruction from a set of unorganized points is an important problem in reverse eng...
The aim of this paper is to solve some interesting interpolation problems using rational B-spline cu...
Interpolation of scattered data has many applications in different areas. Recently, this problem has...
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...
We study the use of neural network algorithms in surface reconstruction from an unorganized point cl...
Curve reconstruction algorithms are supposed to reconstruct curves from point samples. Recent papers...
Curve reconstruction algorithms are supposed to reconstruct curves from point samples. Recent papers...
AbstractCurve reconstruction algorithms are supposed to reconstruct curves from point samples. Recen...
Digitization devices and scanners generate very large point sets representing complicated geometric ...
This paper describes a fast algorithm for scattered data interpolation and approximation. Multilevel...
Abstract. The aim of this paper is to extend the method of modelling scattered data by free-from sur...
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...
General and special ruled surfaces play a central role in several CADapplications. The pu...
Curve network reconstruction from a set of unorganized points is an important problem in reverse eng...
The aim of this paper is to solve some interesting interpolation problems using rational B-spline cu...
Interpolation of scattered data has many applications in different areas. Recently, this problem has...
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...
We study the use of neural network algorithms in surface reconstruction from an unorganized point cl...
Curve reconstruction algorithms are supposed to reconstruct curves from point samples. Recent papers...
Curve reconstruction algorithms are supposed to reconstruct curves from point samples. Recent papers...
AbstractCurve reconstruction algorithms are supposed to reconstruct curves from point samples. Recen...
Digitization devices and scanners generate very large point sets representing complicated geometric ...
This paper describes a fast algorithm for scattered data interpolation and approximation. Multilevel...