DocumentCode
2212958
Title
Reconstructing the geometry of an object using 3D TOF Camera
Author
Francis, Sobers L X ; Anavatti, Sreenatha G. ; Garratt, Matthew
Author_Institution
Sch. of Eng. & Inf. Technol., Univ. of New South Wales at ADFA, Canberra, ACT, Australia
fYear
2011
fDate
11-15 April 2011
Firstpage
13
Lastpage
17
Abstract
This paper describes the effective way for reconstructing the geometry of a 3D object with a time-of-flight (TOF) camera. These TOF cameras can provide the range information and the 3D coordinates of the object in real time. The range information is obtained by estimating the runtime of the light which is emitted, reflected by the object and received by the camera unit. We also describe a simple approach to calibrate the camera´s range data with respect to the object distance. These measured range data is also compared with the manufactures data. The proposed algorithm uses the range information and the camera specification data for the geometrical representation of the object. These range data are also utilised to separate the object from the background. The algorithm uses the depth data of all the pixels of the camera and stores in the form of matrix array to extract the object information. Using suitable mathematical approach, the technique converts the range values into 2D & 3D image representation of the object. Experimental results are presented to demonstrate the utility of this technique.
Keywords
calibration; cameras; geometry; image representation; 3D TOF camera; 3D image representation; calibration; geometrical representation; geometry; information extraction; manufacture data; time-of-flight camera; Cameras; Geometry; Pixel; Sensors; Shape; Three dimensional displays; 3D object; PMD camera; TOF camera; geometry duplication;
fLanguage
English
Publisher
ieee
Conference_Titel
Merging Fields Of Computational Intelligence And Sensor Technology (CompSens), 2011 IEEE Workshop On
Conference_Location
Paris
Print_ISBN
978-1-4244-9910-6
Type
conf
DOI
10.1109/MFCIST.2011.5949516
Filename
5949516
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