Characterization of Feather Art against Mechanical Vibrations using Machine Vision for Applications in Heritage Conservation
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Abstract
This article presents an experimental study on the measurement of mechanical vibrations in feather art using a vision-based system. An algorithm was developed to analyze the dynamic behavior of feathers under vibration by acquiring high-speed images and processing them to quantify the displacement of the barbs. The results show a nonlinear relationship between feather agitation and vibration frequency, with a resonance peak around 10 Hz. This approach offers a more precise solution than traditional methods based on accelerometers or laser sensors, providing key information for the conservation of feather art.
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