In this paper, we present a topological approach for simplifying continuous functions defined on volumetric domains. We introduce two atomic operations that remove pairs of critical points of the function and design a combinator ial algorithm that simplifies the Morse-Smale complex by repeated applicatio n of these operations. The Morse-Smale complex is a topological data structu re that provides a compact representation of gradient flow between critical points of a function. Critical points paired by the Morse-Smale complex iden tify topological features and their importance. The simplification procedure leaves important critical points untouched, and is therefore useful for ext racting desirable features. We also present a visualization ...
Vector fields can provide complex structural behavior, especially in turbulent computational fluid d...
This system paper presents the Topology ToolKit (TTK), a software platform designed for the topologi...
This thesis presents a novel computational framework that allows for a robust extraction and quantif...
In this paper, we present a topological approach for simplifying continuous functions defined on vol...
This paper describes an efficient combinatorial method for simplification of topological features in...
This thesis presents a novel computational framework that allows for a robust extraction and quantif...
The Morse-Smale complex is an efficient representation of the gradient behavior of a scalar function...
The 3D Morse-Smale complex is a fundamental topological construct that partitions the domain of a re...
Critical points of a scalar function (minima, saddle points and maxima) are important features to ch...
This thesis discusses several applications of computational topology to the visualization of scalar...
International audienceMorse-Smale (MS) complexes have been proposed to visualize topological feature...
Data sets coming from simulations or sampling of real-world phenomena often contain noise that hinde...
The Morse-Smale complex can be either explicitly or implicitly represented. Depending on the type of...
We present Extremal Simplification, a rigorous basis for algorithms that simplify geometric and scie...
Les points critiques d’une fonction scalaire (minima, points col et maxima) sont des caractéristique...
Vector fields can provide complex structural behavior, especially in turbulent computational fluid d...
This system paper presents the Topology ToolKit (TTK), a software platform designed for the topologi...
This thesis presents a novel computational framework that allows for a robust extraction and quantif...
In this paper, we present a topological approach for simplifying continuous functions defined on vol...
This paper describes an efficient combinatorial method for simplification of topological features in...
This thesis presents a novel computational framework that allows for a robust extraction and quantif...
The Morse-Smale complex is an efficient representation of the gradient behavior of a scalar function...
The 3D Morse-Smale complex is a fundamental topological construct that partitions the domain of a re...
Critical points of a scalar function (minima, saddle points and maxima) are important features to ch...
This thesis discusses several applications of computational topology to the visualization of scalar...
International audienceMorse-Smale (MS) complexes have been proposed to visualize topological feature...
Data sets coming from simulations or sampling of real-world phenomena often contain noise that hinde...
The Morse-Smale complex can be either explicitly or implicitly represented. Depending on the type of...
We present Extremal Simplification, a rigorous basis for algorithms that simplify geometric and scie...
Les points critiques d’une fonction scalaire (minima, points col et maxima) sont des caractéristique...
Vector fields can provide complex structural behavior, especially in turbulent computational fluid d...
This system paper presents the Topology ToolKit (TTK), a software platform designed for the topologi...
This thesis presents a novel computational framework that allows for a robust extraction and quantif...