The need to analyze and visualize distances between objects arises in many use cases. Although the problem to calculate the distance between two polygonal objects may sound simple, real-world scenarios with large models will always be challenging, but optimization techniques – such as space partitioning – can reduce the complexity of the average case significantly. Our contribution to this problem is a publicly available benchmark to compare distance calculation algorithms. To illustrate the usage, we investigated and evaluated a grid-based distance measurement algorithm
This article introduces a new method to efficiently compute the distance (i.e., L p norm of the diff...
International audienceDistance computation between polylines is a key point to assess similarity bet...
A concept from Gary Chartrand and Ping Zhang’s book “A First Course In Graph Theory” is that there i...
The need to analyze and visualize distances between objects arises in many use cases. Although the...
The need to analyze and visualize distances between objects arises in many use cases. Although the p...
Calculation of the minimum distance to a geometric object or the minimum separation between objects ...
Calculation of the minimum distance to a geometric object or the minimum separation between objects ...
technical reportCalculation of the minimum distance to a geometric object or the minimum separation ...
This article focuses on algorithms for fast computation of the Euclidean distance between a query po...
Figure 1: Interactive Hausdorff Distance Computation. Our algorithm can compute Hausdorff distance b...
Virtual prototyping and assembly planning require physically based simulation techniques. In this se...
We present an algorithm for fast computation of discretized 3D distance elds using graphics hard-war...
During decades Distance Transforms have proven to be useful for many image processing applications, ...
Csv and sql files for the underlying data. Figure 9: Calculating the distance between various number...
Many spatial datasets and spatial problems can be described with reference to regular lattice framew...
This article introduces a new method to efficiently compute the distance (i.e., L p norm of the diff...
International audienceDistance computation between polylines is a key point to assess similarity bet...
A concept from Gary Chartrand and Ping Zhang’s book “A First Course In Graph Theory” is that there i...
The need to analyze and visualize distances between objects arises in many use cases. Although the...
The need to analyze and visualize distances between objects arises in many use cases. Although the p...
Calculation of the minimum distance to a geometric object or the minimum separation between objects ...
Calculation of the minimum distance to a geometric object or the minimum separation between objects ...
technical reportCalculation of the minimum distance to a geometric object or the minimum separation ...
This article focuses on algorithms for fast computation of the Euclidean distance between a query po...
Figure 1: Interactive Hausdorff Distance Computation. Our algorithm can compute Hausdorff distance b...
Virtual prototyping and assembly planning require physically based simulation techniques. In this se...
We present an algorithm for fast computation of discretized 3D distance elds using graphics hard-war...
During decades Distance Transforms have proven to be useful for many image processing applications, ...
Csv and sql files for the underlying data. Figure 9: Calculating the distance between various number...
Many spatial datasets and spatial problems can be described with reference to regular lattice framew...
This article introduces a new method to efficiently compute the distance (i.e., L p norm of the diff...
International audienceDistance computation between polylines is a key point to assess similarity bet...
A concept from Gary Chartrand and Ping Zhang’s book “A First Course In Graph Theory” is that there i...