Persistent homology and its use in digital image analysis

Seminar: 
Applied Mathematics
Event time: 
Tuesday, April 7, 2015 - 12:15pm to 1:15pm
Location: 
AKW 000
Speaker: 
Florian Pausinger
Speaker affiliation: 
IST Austria
Event description: 

Persistent homology is an algebraic tool for quantifying topological features of shapes and functions, which has recently found wide applications in data and shape analysis. In the first and introductory part of this talk, I aim to present the underlying ideas and basic concepts of this very active field of research. In the second part, I plan to sketch a concrete application of this concept to digital image processing.