Image-based measurements are nowadays well-established techniques, and their further development seems endless considering the fast evolution of cameras, computer hardware and software. New algorithms for structural dynamics are continuously developed and, frequently, made available in the computer community. On the other hand, experimental set-up is still an issue. This tutorial aims to focus the attention to this aspect, and will cover:The basic of the experiment design;The selection of the hardware set-up (object preparation, lighting, cameras, acquisition parameters);Limits of the acquisition and uncertainty of the measure;New acquisition technologies The proposed discussion gives basic and advanced considerations to improve the quality of the processing results and images obtained can be elaborated with different processing algorithms.
A “mechanical” vision of image-based identification methods in structural dynamics
Zappa E.
2020-01-01
Abstract
Image-based measurements are nowadays well-established techniques, and their further development seems endless considering the fast evolution of cameras, computer hardware and software. New algorithms for structural dynamics are continuously developed and, frequently, made available in the computer community. On the other hand, experimental set-up is still an issue. This tutorial aims to focus the attention to this aspect, and will cover:The basic of the experiment design;The selection of the hardware set-up (object preparation, lighting, cameras, acquisition parameters);Limits of the acquisition and uncertainty of the measure;New acquisition technologies The proposed discussion gives basic and advanced considerations to improve the quality of the processing results and images obtained can be elaborated with different processing algorithms.File | Dimensione | Formato | |
---|---|---|---|
Paper_tutorial_con_cover.pdf
Accesso riservato
Descrizione: Published paper
:
Publisher’s version
Dimensione
512.71 kB
Formato
Adobe PDF
|
512.71 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.