By Topic

Dent detection in car bodies

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
$31 $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

4 Author(s)
Lilienblum, T. ; Inst. for Electron., Otto von Guericke Univ., Magdeburg, Germany ; Albrecht, P. ; Calow, R. ; Michaelis, B.

Describes a method for the automatic detection of small dents in car bodies which are not visible until the paintwork. For automatic error detection, two problems have to be solved. The accuracy of the measurement system has to be on a sufficient level and the errors have to be detected in the 3D measurement data. The measuring of the surface shape can be done by an optical 3D measurement system. This system consists of two cameras and one projector. The problem of error detection is solved by a method based on neural networks. The measurement data of one or more master workpieces is stored in the weights of a neural network. The calculation of the difference between the measurement data and the output of the neural network gives the resulting error surface. In the paper, a combination of both technologies is described. This dent detection method is illustrated by an example

Published in:

Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:4 )

Date of Conference: