Measuring coarse grain deformation by digital image correlation

Investigation of optimal digital image correlation patterns for deformation measurement

Digital image correlation (DIC) relies on the visible surface features of a specimen to measure deformation. When the specimen itself has little to no visible features, a pattern is applied to the surface which deforms with the specimen and acts as artificial surface features. Since recent pattern application methods, e.g., micro-stamping [1] and lithography [2] allow for the application of hig...

Analysis of speckle patterns for deformation measurements by digital image correlation

Digital Image Correlation (DIC) – also referred to as white light speckle technique – is an optical-numerical full-field measuring technique, which offers the possibility to determine in-plane displacement fields at the surface of objects under any kind of loading. For an optimal use of the method, the object of interest has to be covered with a speckle pattern. The present paper studies the ef...

Digital Image Correlation

Parallelizing Image Feature Extraction on Coarse-Grain Machines

In this paper, we present a fast parallel algorithm for feature extraction on coarse-grain MIMD machines. By maintaining algorithmic threads at each node, our algorithm enhances processor utilization and obtains large speed-ups. Our implementations show that, given an 1024 1024 image, speed-ups of 27.6 and 56.0 on a 32-node SP2 and a 64-node T3D can be achieved.

Improving Nash by coarse correlation

We consider a class of symmetric two-person quadratic games where coarse correlated equilibria — CCE — (Moulin and Vial 1978) can strictly improve upon the Nash equilibrium payoffs, while correlated equilibrium — CE — (Aumann 1974, 1987) cannot, because these games are potential games. We compute the largest feasible total utility in any CCE in those games, and show that it is achieved by a CCE...