Inferring dimensions from an image using automatic calibration

M. M. Fakhir; W. L. Woo; S. S. Dlay

doi:10.1109/CSNDSP.2014.6923932

Inferring dimensions from an image using automatic calibration

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

^*Corresponding author for this work

Computer and Information Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014
Publisher	IEEE
Pages	776-780
Number of pages	5
ISBN (Electronic)	9781479925810
DOIs	https://doi.org/10.1109/CSNDSP.2014.6923932
Publication status	Published - 16 Oct 2014
Event	2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014 - Manchester, United Kingdom Duration: 23 Jul 2014 → 25 Jul 2014

Conference

Conference	2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014
Country/Territory	United Kingdom
City	Manchester
Period	23/07/14 → 25/07/14

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10.1109/CSNDSP.2014.6923932

Cite this

@inproceedings{d621f5a833f041cd9c79c9e451a7dece,

title = "Inferring dimensions from an image using automatic calibration",

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.",

keywords = "accuracy, calibration, dimensions, geometrical shapes, inferring",

author = "Fakhir, {M. M.} and Woo, {W. L.} and Dlay, {S. S.}",

year = "2014",

month = oct,

day = "16",

doi = "10.1109/CSNDSP.2014.6923932",

language = "English",

pages = "776--780",

booktitle = "2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014",

publisher = "IEEE",

address = "United States",

note = "2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014 ; Conference date: 23-07-2014 Through 25-07-2014",

}

Fakhir, MM, Woo, WL & Dlay, SS 2014, Inferring dimensions from an image using automatic calibration. in 2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014. IEEE, pp. 776-780, 2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014, Manchester, United Kingdom, 23/07/14. https://doi.org/10.1109/CSNDSP.2014.6923932

TY - GEN

T1 - Inferring dimensions from an image using automatic calibration

AU - Fakhir, M. M.

AU - Woo, W. L.

AU - Dlay, S. S.

PY - 2014/10/16

Y1 - 2014/10/16

N2 - 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.

AB - 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.

KW - accuracy

KW - calibration

KW - dimensions

KW - geometrical shapes

KW - inferring

U2 - 10.1109/CSNDSP.2014.6923932

DO - 10.1109/CSNDSP.2014.6923932

M3 - Conference contribution

AN - SCOPUS:84910663791

SP - 776

EP - 780

BT - 2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014

PB - IEEE

T2 - 2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014

Y2 - 23 July 2014 through 25 July 2014

ER -

Inferring dimensions from an image using automatic calibration

Abstract

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