Spatio-Temporal Optical Flow Methods for Process Analysis
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Beschreibung
Block matching algorithms (DIC), used in experimental mechanics and full-field process analysis, reach their limits in resolving complex, discontinuous, and multi-scale deformation patterns, are error-prone under industrial operating conditions, or fail when calculating spatio-temporal derivatives. However, motion and its spatio-temporal derivatives lay the foundation of modeling physical processes. This thesis pursues a fundamentally different approach, based on the calculus of variations – the optical flow methods. Newly designed regulariza-tions together with a novel framework for hyperparameter determination enable robust estimation of motion, its spatio-temporal derivatives, and discontinuities. The proposed methods allow analyzing strain, strain rate, and crack propagation during different shear cutting processes using high-speed imaging on a developed precision shear cutting tool.
Autor*in
Christoph Hartmann
Themen in »Spatio-Temporal Optical Flow Methods for Process Analysis«
Lehrstuhl für Umformtechnik und Gießereiwesen TU München Technische Universität München aluminum crack propagation high-speed camera higher-order derivatives higher-order derivatives higher-order derivatives optical flow, digital image correlation regularization shear cutting steel strain rate variational method