Inferring dimensions from an image using automatic calibration

Fakhir, M. M., Woo, Wai Lok and Dlay, Satnam (2014) Inferring dimensions from an image using automatic calibration. In: 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP). IEEE, pp. 776-780. ISBN 978-1-4799-2581-0

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/CSNDSP.2014.6923932

Abstract

We propose a new technique to infer the dimensions of a real object using an image via the automatic calibration of a camera. This method utilises different geometric shapes to make comparisons for calibration and thus decrease the number of errors. Various square, rectangular and triangular shapes are used as the origin by which to calibrate the camera. Since the position from one of the geometrical shapes is known, thus measurement can be inferred for the objects or plane in with it lies. In this paper we provide several ways to calibrate the camera leading to a higher accuracy of measurement.

Item Type: Book Section
Uncontrolled Keywords: inferring, dimensions, calibration, geometrical shapes, accuracy
Subjects: G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 12 Apr 2019 09:11
Last Modified: 12 Apr 2019 09:11
URI: http://nrl.northumbria.ac.uk/id/eprint/38955

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