The Theory of persistent homology, as developed by Gunnar Carlsson at Stanford and others, is based on simplicial homology. In this thesis we explore the possibility of basing persistent homology on cubical homology. We managed to achieve this to some extent and have created a working set of prototype procedures able to calculate the persistent homology of a filtered cubical complex in 2D, and in part 3D, with mod 2 coefficients. We also propose a path that should transform our embryo to a set of procedures capable of handling real applications, in e.g. digital image processing, involving large amounts of data. Extensions to arbitrary finite dimension, orientation, spaces with torsion, PID coefficients and more are also ...
We propose an algorithm for persistence homology computation of orientable 2-dimensional (2D) manifo...
ABSTRACT. Persistent homology is an algebraic tool for measuring topological features of shapes and ...
This paper introduces persistent homology, which is a powerful tool to characterize the shape of dat...
The Theory of persistent homology, as developed by Gunnar Carlsson at Stanford and others, is base...
To compute the persistent homology of a grayscale digital image one needs to build a simplicial or c...
In this paper we present an efficient framework for computation of persis- tent homology of cubical ...
Giusti, ChadA digital image can be naturally represented as a set of lattice cubes defined by element...
We study the homology of a filtered d-dimensional simplicial complex K as a single algebraic entity ...
The topological data analysis studies the shape of a space at multiple scales. Its main tool is pers...
Persistent homology is a recent grandchild of homology that has found use in science and engineering...
The theory of homology generalizes the notion of connectivity in graphs to higher dimensions. It def...
Abstract:In this work, the reader is introduced to the theory of persistent ho- mology and its appli...
The theory of homology generalizes the notion of connectivity in graphs to higher dimensions. It def...
Persistent homology is a powerful notion rooted in topological data analysis which allows for retrie...
<p>(Top, left) An example of a point cloud. (Bottom, left to right) As the size of the squares (in a...
We propose an algorithm for persistence homology computation of orientable 2-dimensional (2D) manifo...
ABSTRACT. Persistent homology is an algebraic tool for measuring topological features of shapes and ...
This paper introduces persistent homology, which is a powerful tool to characterize the shape of dat...
The Theory of persistent homology, as developed by Gunnar Carlsson at Stanford and others, is base...
To compute the persistent homology of a grayscale digital image one needs to build a simplicial or c...
In this paper we present an efficient framework for computation of persis- tent homology of cubical ...
Giusti, ChadA digital image can be naturally represented as a set of lattice cubes defined by element...
We study the homology of a filtered d-dimensional simplicial complex K as a single algebraic entity ...
The topological data analysis studies the shape of a space at multiple scales. Its main tool is pers...
Persistent homology is a recent grandchild of homology that has found use in science and engineering...
The theory of homology generalizes the notion of connectivity in graphs to higher dimensions. It def...
Abstract:In this work, the reader is introduced to the theory of persistent ho- mology and its appli...
The theory of homology generalizes the notion of connectivity in graphs to higher dimensions. It def...
Persistent homology is a powerful notion rooted in topological data analysis which allows for retrie...
<p>(Top, left) An example of a point cloud. (Bottom, left to right) As the size of the squares (in a...
We propose an algorithm for persistence homology computation of orientable 2-dimensional (2D) manifo...
ABSTRACT. Persistent homology is an algebraic tool for measuring topological features of shapes and ...
This paper introduces persistent homology, which is a powerful tool to characterize the shape of dat...