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Inferring Dimensions From an Image Using Automatic Calibration

Lookup NU author(s): Mahammad Fakhir, Dr Wai Lok Woo, Professor Satnam Dlay

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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.


Publication metadata

Author(s): Fakhir MM, Woo WL, Dlay SS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2014 9th International Symposium on Communication Systems, Networks & Digital Signal Processing

Year of Conference: 2014

Pages: 776-780

Print publication date: 01/01/2014

Publisher: IEEE

URL: http://dx.doi.org/10.1109/CSNDSP.2014.6923932

DOI: 10.1109/CSNDSP.2014.6923932


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