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- W2289916144 abstract "ABSTRACTIndustrial applications of computer vision (quality control, inspection, accurate measurement tasks leadingto quantitative evaluation of manufactured parts, etc.) require efficient tools for the computation of 3Ddescriptions of the image contents. The latter can then be compared with the CAD model of the object underinvestigation in order to evaluate quantitatively the object.Stereo-vision is a powerful technique for obtaining 3D information from 2D images. However, the qualityof the 3D reconstruction depends not only on the complexity of the object to be analyzed but also on itsenvironment. Indeed, good viewing and illumination conditions ensure image quality and thus minimize the3D measurement error after having processed the images. This contribution addresses the placement of lightingsources moving within a virtual geodesic sphere containing the scene, with the aim to find positions leadingto minimum errors for the subsequent 3D reconstruction. The evaluation criterion for each tentative positionuses the contrast across object edges and the variance-based edge detection results. The best lighting positioncorresponds to the minimum variance and the maximum contrast values. Comparison of several experimentalresults shows that, for a given stereo-vision sensor position, the optimization of the lighting position leadsindeed to minimization of the 3D measurement errors.Further, this search procedure for optimal lighting source position is currently being fully automated usingSituation Graph Trees (SGTs) as a planning tool and is included in a complete dynamic re-planning tool for3D automated vision-based reconstruction tasks.Keywords: Quality control, Stereo-vision, Edge detection, 3D reconstruction, Fitting." @default.
- W2289916144 created "2016-06-24" @default.
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- W2289916144 date "2009-01-01" @default.
- W2289916144 modified "2023-09-27" @default.
- W2289916144 title "DETERMINATION OF OPTIMAL LIGHTING POSITION IN VIEW OF 3D RECONSTRUCTION ERROR MINIMIZATION" @default.
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