Inferring 3D dimensions of flat objects from a single 2D image

Sreedevi Sreekaladevi; Wai Lok Woo; Satnam Dlay; Peter Gore; Garth Johnson; David Swailes

doi:10.1109/ICCP.2013.6646094

Inferring 3D dimensions of flat objects from a single 2D image

Sreedevi Sreekaladevi, Wai Lok Woo, Satnam Dlay, Peter Gore, Garth Johnson, David Swailes

Computer and Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

In this work, a method to infer 3D dimensions of flat objects from a single image is presented. The idea is based on the computation of position of a reference object lying in space. A sheet of A4 paper is used as the reference object and the camera is calibrated using the four corners of the paper. Once the position of reference paper is known, further measurements can be taken on the plane in which it lies. No distortion correction model has been implemented yet. This method has been tested on various three dimensional scenarios and it has been found that the accuracy of measurements inferred lie within a tolerance of 25 mm.

Original language	English
Title of host publication	Proceedings - 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013
Publisher	IEEE
Pages	123-126
Number of pages	4
ISBN (Electronic)	9781479914944
ISBN (Print)	9781479914937
DOIs	https://doi.org/10.1109/ICCP.2013.6646094
Publication status	Published - 24 Oct 2013
Event	2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013 - Cluj-Napoca, Romania Duration: 5 Sept 2013 → 7 Sept 2013

Conference

Conference	2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013
Country/Territory	Romania
City	Cluj-Napoca
Period	5/09/13 → 7/09/13

Keywords

Cameras
Calibration
Accuracy
Three-dimensional displays
Mathematical model
Measurement uncertainty
Equations

Access to Document

10.1109/ICCP.2013.6646094

Cite this

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title = "Inferring 3D dimensions of flat objects from a single 2D image",

abstract = "In this work, a method to infer 3D dimensions of flat objects from a single image is presented. The idea is based on the computation of position of a reference object lying in space. A sheet of A4 paper is used as the reference object and the camera is calibrated using the four corners of the paper. Once the position of reference paper is known, further measurements can be taken on the plane in which it lies. No distortion correction model has been implemented yet. This method has been tested on various three dimensional scenarios and it has been found that the accuracy of measurements inferred lie within a tolerance of 25 mm.",

keywords = "Cameras, Calibration, Accuracy, Three-dimensional displays, Mathematical model, Measurement uncertainty, Equations",

author = "Sreedevi Sreekaladevi and Woo, {Wai Lok} and Satnam Dlay and Peter Gore and Garth Johnson and David Swailes",

year = "2013",

month = oct,

day = "24",

doi = "10.1109/ICCP.2013.6646094",

language = "English",

isbn = "9781479914937",

pages = "123--126",

booktitle = "Proceedings - 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013",

publisher = "IEEE",

address = "United States",

note = "2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013 ; Conference date: 05-09-2013 Through 07-09-2013",

}

Sreekaladevi, S, Woo, WL, Dlay, S, Gore, P, Johnson, G & Swailes, D 2013, Inferring 3D dimensions of flat objects from a single 2D image. in Proceedings - 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013., 6646094, IEEE, pp. 123-126, 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013, Cluj-Napoca, Romania, 5/09/13. https://doi.org/10.1109/ICCP.2013.6646094

Inferring 3D dimensions of flat objects from a single 2D image. / Sreekaladevi, Sreedevi; Woo, Wai Lok; Dlay, Satnam et al.
Proceedings - 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013. IEEE, 2013. p. 123-126 6646094.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Inferring 3D dimensions of flat objects from a single 2D image

AU - Sreekaladevi, Sreedevi

AU - Woo, Wai Lok

AU - Dlay, Satnam

AU - Gore, Peter

AU - Johnson, Garth

AU - Swailes, David

PY - 2013/10/24

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N2 - In this work, a method to infer 3D dimensions of flat objects from a single image is presented. The idea is based on the computation of position of a reference object lying in space. A sheet of A4 paper is used as the reference object and the camera is calibrated using the four corners of the paper. Once the position of reference paper is known, further measurements can be taken on the plane in which it lies. No distortion correction model has been implemented yet. This method has been tested on various three dimensional scenarios and it has been found that the accuracy of measurements inferred lie within a tolerance of 25 mm.

AB - In this work, a method to infer 3D dimensions of flat objects from a single image is presented. The idea is based on the computation of position of a reference object lying in space. A sheet of A4 paper is used as the reference object and the camera is calibrated using the four corners of the paper. Once the position of reference paper is known, further measurements can be taken on the plane in which it lies. No distortion correction model has been implemented yet. This method has been tested on various three dimensional scenarios and it has been found that the accuracy of measurements inferred lie within a tolerance of 25 mm.

KW - Cameras

KW - Calibration

KW - Accuracy

KW - Three-dimensional displays

KW - Mathematical model

KW - Measurement uncertainty

KW - Equations

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DO - 10.1109/ICCP.2013.6646094

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BT - Proceedings - 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013

PB - IEEE

T2 - 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, ICCP 2013

Y2 - 5 September 2013 through 7 September 2013

ER -

Inferring 3D dimensions of flat objects from a single 2D image

Abstract

Conference

Keywords

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