DocumentCode :
1910617
Title :
Inferring 3D dimensions of flat objects from a single 2D image
Author :
Sreekaladevi, Sreedevi ; Wai Lok Woo ; Dlay, Satnam ; Gore, Peter ; Johnson, Garth ; Swailes, David
Author_Institution :
Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK
fYear :
2013
fDate :
5-7 Sept. 2013
Firstpage :
123
Lastpage :
126
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 :
calibration; cameras; image processing; 3D dimensions; camera calibration; flat objects; reference object lying position computation; reference paper position; single 2D image; three dimensional scenarios; Accuracy; Calibration; Cameras; Equations; Mathematical model; Measurement uncertainty; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2013 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4799-1493-7
Type :
conf
DOI :
10.1109/ICCP.2013.6646094
Filename :
6646094
Link To Document :
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