| During the past few years, 3D imaging started to play a more and more important role in many different fields. Why is 3D imaging necessary? It helps people bypass many of the conventional problems that have plagued the practical applications based on computer version for years. During the past few decades, computer vision was struggling on how to identify and track objects from complicated images and colorful backgrounds. Comparing to the conventional 2D imaging that usually uses only a single camera, 3D imaging often involved multiple cameras or projectors in capturing not only a 'flat' scenario but also the 3D shape of objects in the field of view. One can easily figure out with the help of a 3D shape; people can easily identify different objects and tracking them from various backgrounds. Digital Image Correlation (DIC) is one of the key 3D imaging technologies that have been accepted widely. This paper will start with introducing the fundamental of conventional DIC then explain how the author contributes in expanding the DIC to more robust form by involving camera arrays and improved algorithms. Applications are shown to prove the performance of the technology. The Applications include High-temperature strain measurement and Forming Limit Diagram determination. |
