Digital image correlation in experimental mechanics and image registration in computer vision: Similarities,differences and complements |
| |
| Institution: | 1. Department of Mechanical Engineering, The Catholic University of America, Washington, DC 20064, USA;2. Department of Electrical Engineering and Computer Science, The Catholic University of America, Washington, DC 20064, USA;1. Laboratoire Navier, UMR 8205, École des Ponts, IFSTTAR, CNRS, Université Paris-Est, Champs-sur-Marne, France;2. Institut P’, UPR 3346 CNRS, Université de Poitiers, SP2MI, Futuroscope Chasseneuil, France;3. CIMAP, UMR 6252, CNRS, CEA, Université de Caen Basse-Normandie, ENSICAEN, Caen, France;4. Université de Toulouse; Mines Albi, INSA, UPS, ISAE; ICA (Institut Clément Ader), Campus Jarlard, F-81013 Albi Cedex 09, France;5. Institut Pascal, UMR6602, CNRS, Université Blaise Pascal – IFMA, Aubière, France;6. Laboratoire de Mécanique et Génie Civil, UMR CNRS 5508, Université Montpellier 2, Montpellier, France;1. College of Physics and Information Engineering, and Institute of Micro-Nano Devices & Solar Cells, Fuzhou University, Fuzhou 350108, China;2. Dept. of Civil Engineering and Architecture, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy;3. Dept. of ASTRA, University of Catania, Piazza Federico di Svevia, 96100 Siracusa, Italy;1. Institute of Solid Mechanics, Beihang University, Beijing 100191, China;2. State Key Lab of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China |
| |
| Abstract: | Digital image correlation and image registration or matching are among the most widely used techniques in the fields of experimental mechanics and computer vision, respectively. Despite their applications in separate fields, both techniques primarily involve detecting the same physical points in two or more images. In this paper, a brief technical comparison of the two techniques is reviewed, and their similarities and differences as well as complements are presented. It is shown that some concepts from the image registration or matching technique can be applied to the digital image correlation technique to substantially enhance its performance, which can help broaden the applications of digital image correlation in scientific research and engineering practice. |
| |
| Keywords: | Digital image correlation Image registration Image matching Experimental mechanics Computer vision |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
