Inferring dimensions from an image using automatic calibration

M. M. Fakhir*, W. L. Woo, S. S. Dlay

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014
PublisherIEEE
Pages776-780
Number of pages5
ISBN (Electronic)9781479925810
DOIs
Publication statusPublished - 16 Oct 2014
Event2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014 - Manchester, United Kingdom
Duration: 23 Jul 201425 Jul 2014

Conference

Conference2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014
CountryUnited Kingdom
CityManchester
Period23/07/1425/07/14

Fingerprint Dive into the research topics of 'Inferring dimensions from an image using automatic calibration'. Together they form a unique fingerprint.

Cite this