3D Object Detection - Tomographies

Experiments developing novel materials require structural and mechanical characterization. Structural characterization requires the extraction of information such number of objects and their lengths, orientations and intra-element interactions. These properties can directly affect the material's behavior and help to predict the material's response to external mechanical forces.

Stochastic methods are useful approaches to segment and model materials since they are often based on physics and incorporate the materials real-world characteristics into the models. In the first part of my thesis, I combined stochastic models with variational methods in order to simmulate, segment, and model systems of objects with irregularly shaped boundaries.

Experiments developing novel materials require structural and mechanical characterization. Structural characterization requires the extraction of information such number of objects and their lengths, orientations and intra-element interactions. These properties can directly affect the material's behavior and help to predict the material's response to external mechanical forces.