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

Sreekaladevi, Sreedevi, Woo, Wai Lok, Dlay, Satnam, Gore, Peter, Johnson, Garth and Swailes, David (2013) Inferring 3D dimensions of flat objects from a single 2D image. In: ICCP 2013 - 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, 5th - 7th September 2013, Cluj-Napoca, Romania.

Full text not available from this repository.
Official URL:


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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Cameras, Calibration, Accuracy, Three-dimensional displays, Mathematical model, Measurement uncertainty, Equations
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 02 May 2019 15:16
Last Modified: 10 Oct 2019 19:17

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics