Molecular Surface Estimation by Geometric Coupled Distance Functions

Perceptual 3D pose distance estimation by boosting relational geometric features

Traditional pose similarity functions based on joint coordinates or rotations often do not conform to human perception. We propose a new perceptual pose distance: Relational Geometric Distance that accumulates the differences over a set of features that reflects the geometric relations between different body parts. An extensive relational geometric feature pool that contains a large number of p...

estimation surface soil shear strength by pedo-transfer functions and soil spatial prediction functions

abstract surface soil shear strength is an effective parameter in soil erosion and runoff modeling, and known as soil erodibility index. this study was conducted to investigate and predict soil shear strength in central zagros region using multiple linear regressions (mlr). the study site was selected in rangeland and degraded-rangeland landuse with an area of 23562 ha. based on the maps of geo...

An iterative approach for estimation of efficiency by weighted distance

Two-Site Voronoi Diagrams under Geometric Distance Functions

We revisit a new type of a Voronoi diagram, in which distance is measured from a point to a pair of points. We consider a few more such distance functions, and analyze the structure and complexity of the nearestand furthest-neighbor Voronoi diagrams of a point set with respect to these distance functions.

Geometric Inference for Measures based on Distance Functions

Data often comes in the form of a point cloud sampled from an unknown compact subset of Euclidean space. The general goal of geometric inference is then to recover geometric and topological features (e.g. Betti numbers, normals) of this subset from the approximating point cloud data. In recent years, it appeared that the study of distance functions allows to address many of these questions succ...