2010/01/15 by B. Semin, Benoit Semin, Marc François +5
Computer Science · Engineering · Physics and Astronomy · #Advanced Vision and Imaging #Image Processing Techniques and Applications #Optical measurement and interference techniques #cs.CV #physics.comp-ph
paper · pdf · doi:10.48550/arxiv.1001.2636
17 pages
arxiv created 2010/01/15 · arxiv updated 2010/02/26
This paper reports a method allowing for the determination of the shape of deformed fiber-like objects. Compared to existing methods, it provides analytical results including the local slope and curvature which are of first importance, for instance, in beam mechanics. The presented VIC (Virtual Image Correlation) method consists in looking for the best correlation between the image of the fiber-like object and a virtual beam image, using an algorithm close to the Digital Image Correlation method developed in experimental solid mechanics. The computation only involves the part of the image in the vicinity of the fiber: the method is thus insensitive to the picture background and the computational cost remains low. Two examples are reported: the first proves the precision of the method, the second its ability to identify a complex shape with multiple loops.