Two Dimensional Interpolation from Random Data

Two-dimensional spline interpolation algorithms

Three Dimensional Symmetry from Two Dimensional Data

In previous applications, bilateral symmetry of objects was used either as a descriptive feature in domains such as recognition and grasping, or as a way to reduce the complexity of structure from motion. In this paper we propose a novel application, using the symmetry property to \symmetrize" data before and after reconstruction. We rst show how to compute the closest symmetric 2D and 3D conng...

Lagrange Two-Dimensional Interpolation Method for Modeling Nanoparticle Formation During RESS Process

Two-dimensional random projection

As an alternative to adaptive nonlinear schemes for dimensionality reduction, linear random projection has recently proved to be a reliable means for high-dimensional data processing. Widespread application of conventional random projection in the context of image analysis is, however, mainly impeded by excessive computational and memory requirements. In this paper, a two-dimensional random pro...

Two Dimensional Random Patterns

A new approach to the generation of random sequences and two dimensional random patterns is proposed in this paper in which random sequences are generated by making use of either Delaunay triangulation or Voronoi diagrams drawn from random points taken in a two dimensional plane. Both the random sequences and two dimensional random patterns generated in this manner are shown to be more random w...