Paper
30 April 2012 Use of subpixel techniques in pocket cameras to measure vibrations and displacements
David Mas, Julián Espinosa, Ana B. Roig, Belén Ferrer, Jorge Pérez
Author Affiliations +
Abstract
Analysis of vibrations and displacements is a hot topic in structural engineering. Video cameras can provide good accuracy at reasonable cost. Proper system configuration and adequate image processing algorithms provide a reliable method for measuring vibrations and displacements in structures. In this communication we propose using a pocket camera (Casio) for measuring small vibrations and displacements. Low end cameras can acquire high speed video sequences at very low resolutions. Nevertheless, many applications do not need precise replication of the scene, but detecting its relative position. By using targets with known geometrical shapes we are able to mathematically obtain subpixel information about its position and thus increase the system resolution. The proposal is demonstrated by using circular and elliptic targets on moving bodies The used method combines image processing and least squares fitting and the obtained accuracy multiplies by 10 the original resolution. Results form the low-end camera (400 euros) working at 224×168 px are compared with those obtained with a high-end camera (10000 euros) with a spatial resolution of 800×560 px. Although the low-end camera introduces a lot of noise in the detected trajectory, we obtained that results are comparable. Thus for particular applications, low-end pocket cameras can be a real alternative to more sophisticated and expensive devices.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Mas, Julián Espinosa, Ana B. Roig, Belén Ferrer, and Jorge Pérez "Use of subpixel techniques in pocket cameras to measure vibrations and displacements", Proc. SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 84360P (30 April 2012); https://doi.org/10.1117/12.922247
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KEYWORDS
Cameras

Adaptive optics

Target detection

Video

Spatial resolution

Image processing

Optical resolution

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