Tolga Birdal

Doktorand, Siemens AG

Topic:  Sparse and Dense Reconstruction via Detection: CAD Priors for Accurate and Flexible Instance Reconstruction for Industry 4.0

Language: English

Abstract: The first part of this talk will address a coordiante measurement application where manufactured parts are 3D-quality checked in a realtime and online manner. Next, I will propose reconstruction-by-detection framework that is a different and accurate approach to 3D reconstruction. In contrast to conventional scanning, our pipeline uses the nominal CAD model prior as a proxy. It begins with the rough matching of the model to the acquired unordered and unstructured scans, obtaining good initial registration to the common coordinate system. Unlike other conventional models that concentrate on multi-view registration of object scans and require either pre- or post-segmentation of the reconstructed object, our reconstruction by detection allows automatic segmentation of the object of interest from the scans containing clutter and occlusions, thus avoiding any manual interventions. Moreover we introduce automatic computation and update of a global pose graph with live user feedback about the object coverage leading to potential seamless interaction during the data acquisition. Finally we perform global alignment, merging and meshing of the segmented object scans. Our method depends neither on the scan resolution nor the reconstruction volume, allowing reconstruction of objects from small (several cm3) to extremely large sizes (2 to 125m^3) retaining the sub-millimeter scan resolutions.

About: Tolga Birdal is a PhD candidate at the Computer Vision Group at the Chair for Computer Aided Medical Procedures, TUM and a Doktorand at Siemens AG. He has achieved to make many of those memorable with several awards in competitions or conferences.
As being an enthusiast in his specialties in computer vision, pattern recognition and optimization, he has a deep and compelling background, knowledge and creativity as a product of years of effort.
While often developing his own tools, he has a very wide knowledge-spectrum of open source and commercial libraries that he made himself familiar with.