Computer Vision Based Method for Real Time Material and Structure Parameters Estimation Using Digital Image Correlation, Particle Filtering and Finite Element Method

This paper presents the design and implementation of a novel method for real time material and structure parameters estimation. Digital image correlation (DIC) and particle filtering (PF) are used for obtaining the full-field deformations of a structure or model. In order to take into account all advantages of both methods, new marker design is proposed. Particle filtering method is also used in combination with finite element method (FEM) for estimating material and structure parameters, such as Young’s modulus, by solving inverse problems. Main algorithm and all of the above methods are implemented in C++. Experiments are carried out on the model of an aluminum frame, using high resolution industrial camera.