A Geometric Approach for Computing the Kernel of a Polyhedron

10/21/2021
by   Tommaso Sorgente, et al.
0

We present a geometric algorithm to compute the geometric kernel of a generic polyhedron. The geometric kernel (or simply kernel) is definedas the set of points from which the whole polyhedron is visible. Whilst the computation of the kernel for a polygon has already been largely addressed in the literature, less has been done for polyhedra. Currently, the principal implementation of the kernel estimation is based on the solution of a linear programming problem. We compare against it on several examples, showing that our method is more efficient in analysing the elements of a generic tessellation. Details on the technical implementation and discussions on pros and cons of the method are also provided.

READ FULL TEXT
research
02/14/2022

Polyhedron Kernel Computation Using a Geometric Approach

The geometric kernel (or simply the kernel) of a polyhedron is the set o...
research
06/25/2012

A Geometric Algorithm for Scalable Multiple Kernel Learning

We present a geometric formulation of the Multiple Kernel Learning (MKL)...
research
12/16/2019

Kernel-based interpolation at approximate Fekete points

We construct approximate Fekete point sets for kernel-based interpolatio...
research
07/14/2022

Computing Optimal Kernels in Two Dimensions

Let P be a set of n points in ℝ^2. A subset C⊆ P is an ε-kernel of P if ...
research
08/20/2019

Implementation of IOAM for IPv6 in the Linux Kernel

In-situ Operations, Administration, and Maintenance (IOAM) is currently ...
research
08/29/2018

Victory Probability in the Fire Emblem Arena

We demonstrate how to efficiently compute the probability of victory in ...
research
11/19/2019

Discussion contribution "Functional models for time-varying random objects” by Dubey and Müller (to appear in JRSS-B)

In an inspiring paper Dubey and Müller (DM) extend PCA to the case that ...

Please sign up or login with your details

Forgot password? Click here to reset