In a recent paper, Warren, Schaefer, Hirani, and Desbrun proposed a simple method of interpolating a function defined on the boundary of a smooth convex domain, using an inte-gral kernel with properties similar to those of barycentric co-ordinates on simplexes. When applied to vector-valued data, the interpolation can map one convex region into another, with various potential applications in computer graphics, such as curve and image deformation. In this paper we es-tablish some basic mathematical properties of barycentric kernels in general, including the interpolation property and a formula for the Jacobian of the mappings they generate. We then use this formula to prove the injectivity of the map-ping of Warren et al
Piecewise interpolation methods, as spline or Hermite cubic interpolation methods, define the interp...
The polynomial kernels are widely used in machine learning and they are one of the default choices t...
We investigate the construction of local quasi-interpolation schemes based on a family of bivariate ...
In this paper we provide an extension of barycentric coordinates from simplices to arbitrary convex ...
manipulated control points are deformed, as indicated by the logarithmic color-coding of the displac...
The barycentric interpolation formula defines a stable algorithm for evaluation at points in $[-1,1]...
Abstract. The barycentric interpolation formula defines a stable algorithm for evaluation at points ...
Barycentric interpolation is a variant of Lagrange polynomial interpolation that is fast and stable....
AbstractWe show that complex mean-value interpolation, a generalizationof Lagrange–Hermite interpola...
Barycentric coordinates provide a convenient way to represent a point inside a triangle as a convex...
Abstract This survey focusses on the method of barycentric interpolation, which ties up to the ideas...
A reproducing-kernel Hilbert space approach to image inter-polation is introduced. In particular, th...
Barycentric coordinates yield a powerful and yet simple paradigm to interpolate data values on polyh...
We consider the interpolation problem for functions whose range and whose domain both consist of con...
We introduce the novel concept of composite barycentric mappings and give theoretical conditions und...
Piecewise interpolation methods, as spline or Hermite cubic interpolation methods, define the interp...
The polynomial kernels are widely used in machine learning and they are one of the default choices t...
We investigate the construction of local quasi-interpolation schemes based on a family of bivariate ...
In this paper we provide an extension of barycentric coordinates from simplices to arbitrary convex ...
manipulated control points are deformed, as indicated by the logarithmic color-coding of the displac...
The barycentric interpolation formula defines a stable algorithm for evaluation at points in $[-1,1]...
Abstract. The barycentric interpolation formula defines a stable algorithm for evaluation at points ...
Barycentric interpolation is a variant of Lagrange polynomial interpolation that is fast and stable....
AbstractWe show that complex mean-value interpolation, a generalizationof Lagrange–Hermite interpola...
Barycentric coordinates provide a convenient way to represent a point inside a triangle as a convex...
Abstract This survey focusses on the method of barycentric interpolation, which ties up to the ideas...
A reproducing-kernel Hilbert space approach to image inter-polation is introduced. In particular, th...
Barycentric coordinates yield a powerful and yet simple paradigm to interpolate data values on polyh...
We consider the interpolation problem for functions whose range and whose domain both consist of con...
We introduce the novel concept of composite barycentric mappings and give theoretical conditions und...
Piecewise interpolation methods, as spline or Hermite cubic interpolation methods, define the interp...
The polynomial kernels are widely used in machine learning and they are one of the default choices t...
We investigate the construction of local quasi-interpolation schemes based on a family of bivariate ...