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http://dx.doi.org/10.5302/J.ICROS.2013.13.9035

Development of a Reliable Real-time 3D Reconstruction System for Tiny Defects on Steel Surfaces  

Jang, Yu Jin (Department of Information & Communication Engineering, Dongguk University)
Lee, Joo Seob (NEDTECH Co., Ltd.)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.19, no.12, 2013 , pp. 1061-1066 More about this Journal
Abstract
In the steel industry, the detection of tiny defects including its 3D characteristics on steel surfaces is very important from the point of view of quality control. A multi-spectral photometric stereo method is an attractive scheme because the shape of the defect can be obtained based on the images which are acquired at the same time by using a multi-channel camera. Moreover, the calculation time required for this scheme can be greatly reduced for real-time application with the aid of a GPU (Graphic Processing Unit). Although a more reliable shape reconstruction of defects can be possible when the numbers of available images are increased, it is not an easy task to construct a camera system which has more than 3 channels in the visible light range. In this paper, a new 6-channel camera system, which can distinguish the vertical/horizontal linearly polarized lights of RGB light sources, was developed by adopting two 3-CCD cameras and two polarized lenses based on the fact that the polarized light is preserved on the steel surface. The photometric stereo scheme with 6 images was accelerated by using a GPU, and the performance of the proposed system was validated through experiments.
Keywords
steel surface; defects; multi-spectral polarized lights; camera system; photometric stereo; GPU;
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