By Topic

Reconstructing the geometry of an object using 3D TOF Camera

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Francis, S.L.X. ; Sch. of Eng. & Inf. Technol., Univ. of New South Wales at ADFA, Canberra, ACT, Australia ; Anavatti, S.G. ; Garratt, M.

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.

Published in:

Merging Fields Of Computational Intelligence And Sensor Technology (CompSens), 2011 IEEE Workshop On

Date of Conference:

11-15 April 2011