Welding is one of the most important industrial processes. Animportant technique within welding is (Short-Arc) V-Groove welding.Today this is domiDanemarknated by manual work. The welder uses visionfeedback to move the electrode rod (and wire) to avoid burn through and to achieve a uniform filling; The purpose of the research is to develop a low-cost vision based control system without external illumination; Sub-tasks are seam tracking, and molten pool modelling. These tasks are difficult because the illumination from the arc is very much stronger compared to usual vision and because impurities creates a lot of sparks. During the presentation I will describe and show the problems and our solutions, and I will show preliminary results within seam tracking.
In modern hospitals, abdominal pathologies are often accessed by advancing a catheter through the human vessel system. A navigation based on X-ray fluoroscopy is common in such scenarios, which allows the treatment to be minimally-invasive. However, due to ambiguities in the projective images, patient motion, and radio transparency of vascular structures, this navigation is not optimal and intervention times, X-ray exposure to patient and physician, as well as the amount of administered contrast agent may increase. In this talk, I will address different issues to bring the navigation process from 2D to 3D in a monocular interventional scenario. This includes the processing of medical imagery to extract vessel structures, a 2D-3D pose estimation to relate pre-interventional images to intra- interventional images, deformable 2D-3D registration having only a single view in order to compensate for non-rigid motion, catheter tracking for breathing motion compensation, and finally robust 2D-to-3D back-projection of tracked instruments
I will describe an approach for statistical analysis of shapes of 2D boundaries (closed curves) and 3D objects (surfaces) using ideas from Riemannian geometry. A fundamental tool in this shape analysis is the construction and implementation of geodesic paths between shapes on nonlinear manifolds. We use geodesic paths to accomplish a variety of tasks, including the definition of an intrinsic metric to compare shapes, the computation of intrinsic statistics for a given set of shapes, the estimation of optimal deformations on shape spaces, and the construction of smooth paths fitting a given set of shapes. We demonstrate this approach using three applications: (i) 3D face recognition according to their shapes, (ii) symmetrization of 2D and 3D objects, and (iii) 2D and 3D objects metamorphosis.