This paper deals with a 3D measurement system based on the "Shape from Polarization" method applied for transparent
objects.
The method is an application of polarization imaging techniques and its principle is as follows: after being reflected, an
unpolarized light becomes partially linearly polarized. By analyzing its polarization parameters and by knowing the
refractive index of the object to be controlled, the surface normals can be evaluated. Finally, the 3D shape is obtained by
integrating the normals field.
Section 1 introduces the opportunity to use polarisation imaging, section 2 recalls the measurement method and describes
the angle measurement ambiguities naturally appearing and discusses how to overcome them, section 3 introduces the
measurement setup and a part of its calibration and section 4 describes some examples on transparent objects.
This paper aims at reviewing the recent published works dealing with industrial applications which rely on polarization imaging.
A general introduction presents the basics of polarimetry and then 2D and 3D machine vision application are presented as well as the latest evolution in term of high speed polarimetric imaging.
In order to achieve better quality on their products, manufacturers
now use more and more artificial vision systems during their process.
Concerning transparent objects the task is not trivial and requires controlling the whole lighting of the scene. This paper deals with a polarization imaging method and its application to shape measurement of transparent objects. Our aim is to develop a low cost system based on a unique viewpoint and using industrial components. We show how to overcome ambiguities appearing during the measurement process.
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