In order to improve the potential of photogrammetric measurement techniques in civil engineering material testing, the geometric model of photogrammetry will be combined with mechanical knowledge on the deformation model. This is achieved by directly introducing the parameters of the deformation model as unknowns into the photogrammetric data processing process, circumventing the determination of the 3D coordinates of a large number of discrete points and thus drastically reducing the number of unknowns. From a stochastic point of view, this comes with the advantage of a much higher redundancy and an implicit consideration of covariance in the parameter estimation process, thus significantly increasing precision and reliability. This is of special relevance when using optical measurement techniques at their applicability limits, for instance in short-time dynamic processes with rather small but fast deformations. The project develops novel integrative approaches for processing stereo highspeed camera image sequences with implicit exploitation of model knowledge on the phenomena at hand. These approaches combine photogrammetric data processing strategies with model knowledge from mechanics.