| Extraction of Dominant Extremal Structures in Volumetric Data using Separatrix Persistence | Corresponding Publication | |
 |
Extremal lines and surfaces are features of a 3D scalar field where the scalar function becomes minimal or maximal with respect to a local neighborhood. These features are important in many applications, e.g., computer tomography, fluid dynamics, cell biology. We present a novel topological method to extract these features using discrete Morse theory. In particular, we extend the notion of Separatrix Persistence from 2D to 3D, which gives us a robust estimation of the feature strength for extremal lines and surfaces. Not only does it allow us to determine the most important (parts of) extremal lines and surfaces, it also serves as a robust filtering measure of noise-induced structures. Our purely combinatorial method does not require derivatives or any other numerical computations. | Extraction of Dominant Extremal Structures in Volumetric Data using Separatrix Persistence Computer Graphics Forum 31(8), December 2012 |
| [slideshow] | ||
