Edge flow: a framework of boundary detection and image segmentation
A novel boundary detection scheme based on" edge flow" is proposed in this paper. This
scheme utilizes a predictive coding model to identify the direction of change in color and …
scheme utilizes a predictive coding model to identify the direction of change in color and …
Three-dimensional modelling of geological surfaces using generalized interpolation with radial basis functions
A generalized interpolation framework using radial basis functions (RBF) is presented that
implicitly models three-dimensional continuous geological surfaces from scattered …
implicitly models three-dimensional continuous geological surfaces from scattered …
Overset meshes for incompressible flows: On preserving accuracy of underlying discretizations
This study on overset meshes for incompressible-flow simulations is motivated by accurate
prediction of wind farm aerodynamics involving large motions and deformations of …
prediction of wind farm aerodynamics involving large motions and deformations of …
Reconstruction of implicit curves and surfaces via RBF interpolation
Abstract Representation of curves and surfaces is a basic topic in computer graphic and
computer aided design (CAD). In this paper we focus on theoretical and practical issues in …
computer aided design (CAD). In this paper we focus on theoretical and practical issues in …
A meshless local discrete Galerkin (MLDG) scheme for numerically solving two-dimensional nonlinear Volterra integral equations
This article describes a numerical scheme to solve two-dimensional nonlinear Volterra
integral equations of the second kind. The method estimates the solution by the Galerkin …
integral equations of the second kind. The method estimates the solution by the Galerkin …
Large scattered data interpolation with radial basis functions and space subdivision
We propose a new approach for the radial basis function (RBF) interpolation of large
scattered data sets. It uses the space subdivision technique into independent cells allowing …
scattered data sets. It uses the space subdivision technique into independent cells allowing …
C1 interpolating Bézier path on Riemannian manifolds, with applications to 3D shape space
This paper introduces a new framework to fit a C 1 Bézier path to a given finite set of ordered
data points on shape space of curves. We prove existence and uniqueness properties of the …
data points on shape space of curves. We prove existence and uniqueness properties of the …
Implicit structural modeling by minimization of the bending energy with moving least squares functions
J Renaudeau, E Malvesin, F Maerten… - Mathematical …, 2019 - Springer
In this paper, an implicit structural modeling method using locally defined moving least
squares shape functions is proposed. The continuous bending energy is minimized to …
squares shape functions is proposed. The continuous bending energy is minimized to …
Designing an efficient parallel spectral clustering algorithm on multi-core processors in Julia
Spectral clustering is widely used in data mining, machine learning and other fields. It can
identify the arbitrary shape of a sample space and converge to the global optimal solution …
identify the arbitrary shape of a sample space and converge to the global optimal solution …
Improving GPU-accelerated adaptive IDW interpolation algorithm using fast kNN search
G Mei, N Xu, L Xu - SpringerPlus, 2016 - Springer
This paper presents an efficient parallel Adaptive Inverse Distance Weighting (AIDW)
interpolation algorithm on modern Graphics Processing Unit (GPU). The presented …
interpolation algorithm on modern Graphics Processing Unit (GPU). The presented …