The 2016EMVA Young Professional Award, which is an annual award to honor the outstanding and innovative work of a student or a young professional in the field of machine vision or image processing, was awarded to Tolga Birdal, for his work "Reconstruction via Detection: Efficient and Automatic Reconstruction from Unorganized 3D Scans."
Birdal, 33, is currently a PhD candidate at the Computer Vision Group at the Chair for Computer Aided Medical Procedures, Technical University of Munich and Research Scientist at Siemens AG. His award-winning work proposes reconstruction-via-detection framework, a new and effective approach to 3D digitization from a limited number of unordered and unstructured 3D point clouds. This method integrates a CAD model directly into the reconstruction pipeline. The framework is able to perform matching,
segmentation, hypotheses rejection, and global refinement. The result, according to the EMVA, is an occlusion and clutter aware, robust and flexible 3D reconstruction system, which could operate online within a couple of seconds and provide live user feedback along with the automatic object segmentation.
Thanks to this framework, the final system doesn't require manual intervention other than acquiring the 3D data. The method does not use approximations such as voxelization or smoothing, and os able to retain the accuracy of the 3D sensor in the final result. This way, large objects can be scanned in minimal shots. This method was applied to an application where steam turbine casings and ventils are digitized and inspected using laser scanners. Inspection results were evaluated using photogrammetry systems and (sub)milimeter-level accuracy was demonstrated.
The Young Professional Award aims to encourage students to focus on challenges in the field of machine vision and to apply latest research results and findings in computer vision to the practical needs of the industry. Birdal was given the award on June 11 during the 14th EMVA Business Conference in Edinburgh, Scotland. Next year’s conference will take place June 22-24 in Prague, Czech Republic.
View more information on theEMVA.
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