Scalable geometry processing and 3D reconstruction



In collaboration with GEXCEL and CRS4, the fellow will study scalable geometry processing and 3D reconstruction techniques in particular for man-made interior environments and with respect to scan-to-BIM approaches. Geometry processing issues related to linking capture to fabrication may also be investigated.

Expected Results

Scientific publications, research reports and proof-of-concept implementations of methods for complex 3D shape fitting and semantic 3D structure analysis. Completion of PhD program including a dissertation on these topics and participation in teaching and other graduate program activities.

Specific Requirements

The position requires prior knowledge in computer graphics, computer vision, or visual computing. Hence, the background needs to be a M.Sc. in Computer Science or a closely related field. Skills in programming (C/C++, Python, Matlab, OpenGL, OpenCV) are required.

Host Institution

Supervisor: Prof. Dr. Renato Pajarola
Head Visualization and MultiMedia Lab
University of Zürich

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