Interpolation of track data with radial basis methods
نویسندگان
چکیده
منابع مشابه
Surface interpolation with radial basis functions formedical
| Radial basis functions are presented as a practical solution to the problem of interpolating incomplete surfaces derived from three-dimensional (3-D) medical graphics. The speciic application considered is the design of cranial implants for the repair of defects, usually holes, in the skull. Radial basis functions impose few restrictions on the geometry of the interpolation centers and are su...
متن کاملVector Field Interpolation with Radial Basis Functions
This paper presents a new approach for the Radial Basis Function (RBF) interpolation of a vector field. Standard approaches for interpolation randomly select points for interpolation. Our approach uses the knowledge of vector field topology and selects points for interpolation according to the critical points location. We presents the results of interpolation errors on a vector field generated ...
متن کاملVariational Methods for Interpolation, Particularly by Radial Basis Functions
In this paper we give an overview of the variational approach to interpolation. Our particular interest is in the theory of radial basis functions, which include natural splines as a special case. Our approach is expository, seeking to put into a general framework seemly disparate results. However, at the end of the paper we do provide some glimpses of new results.
متن کاملKrylov Subspace Methods for Radial Basis Function Interpolation 1
Radial basis function methods for interpolation to values of a function of several variables are particularly useful when the data points are in general positions, but hardly any sparsity occurs in the matrix of the linear system of interpolation equations. Therefore an iterative procedure for solving the system is studied. The k-th iteration calculates the element in a k-dimensional linear sub...
متن کاملMultistep Scattered Data Interpolation using Compactly Supported Radial Basis Functions
A hierarchical scheme is presented for smoothly interpolating scattered data with radial basis functions of compact support. A nested sequence of subsets of the data is computed efficiently using successive Delaunay triangulations. The scale of the basis function at each level is determined from the current density of the points using information from the triangulation. The method is rotational...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers & Mathematics with Applications
سال: 1992
ISSN: 0898-1221
DOI: 10.1016/0898-1221(92)90169-i