Fast computation of all pairs of geodesic distances

07/31/2020
by   Guillaume Noyel, et al.
0

Computing an array of all pairs of geodesic distances between the pixels of an image is time consuming. In the sequel, we introduce new methods exploiting the redundancy of geodesic propagations and compare them to an existing one. We show that our method in which the source point of geodesic propagations is chosen according to its minimum number of distances to the other points, improves the previous method up to 32 of reduction of the number of operations.

READ FULL TEXT

page 4

page 6

research
06/11/2019

Ultra Fast Medoid Identification via Correlated Sequential Halving

The medoid of a set of n points is the point in the set that minimizes t...
research
08/15/2022

Degree of Convexity and Expected Distances in Polygons

We present an algorithm for computing the so-called Beer-index of a poly...
research
10/20/2019

Computing Branching Distances Using Quantitative Games

We lay out a general method for computing branching distances between la...
research
01/19/2017

The number of realizations of a Laman graph

Laman graphs model planar frameworks that are rigid for a general choice...
research
05/22/2023

A Convex Optimization Framework for Regularized Geodesic Distances

We propose a general convex optimization problem for computing regulariz...
research
02/15/2015

Relative Squared Distances to a Conic Berserkless 8-Connected Midpoint Algorithm

The midpoint method or technique is a measurement and as each measuremen...
research
06/16/2017

Breaking the 3/2 barrier for unit distances in three dimensions

We prove that every set of n points in R^3 spans O(n^295/197+ϵ) unit dis...

Please sign up or login with your details

Forgot password? Click here to reset