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For the past two decades, the need for three-dimensional (3-D) scanning of industrial objects has increased significantly and many experimental techniques and commercial solutions have been proposed. However , difficulties remain for the acquisition of optically non-cooperative surfaces, such as transparent or specular surfaces. To address highly reflective(More)
In this paper, we apply genetic algorithms to reconstruct Gielis surfaces from 3D data sets. The Levenberg-Marquardt method has been used as a standard for superquadrics recovery and has recently been extended to Gielis surfaces. Unfortunately, the non homogeneity of the Gielis surface parameters requires additional heuristic to determine discrete(More)
This paper presents a simulation of automatic 3D acquisition and post-processing pipeline. The proposed methodology is applied to a LASER triangulation based scanner and a 6 degrees of freedom (DOF) robotic arm simulation. The viewpoints are computed by solving a set covering problem to reduce the number of potential positions. The quality of the view plan(More)
During industrial forging of hot metallic shells, it is necessary to regularly measure the dimensions of the parts, especially the inner and outer diameters and the thickness of the walls. A forging sequence lasts 2 h or more during which the diameter of the shell is regularly measured in order to decide when to stop the forging process. For better working(More)
Measuring the dimensions of large hot metallic shells during forging is very important in order to decide when to stop the forging process. However, it is a difficult and dangerous operation for the blacksmiths due to the high temperature of the shell that ranges from 700°C to 1200°C depending on at which stage in the forging process the measurement is(More)
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