Job Description

semantic LoD3 facade modeling. However, utilizing such data requires ro-bust automatic image projection, semantic segmentation, and reconstructionalgorithms.Objectives In this project, you will be supervised by Olaf Wysocki andwork closely with Prof Biljecki’s group of the National University of Singa-pore. This position is for 8 hours/week, starting in April/May until the endof the semester, September/October, with the possibility of extension; Thejoint publication is foreseen. Your tasks will include:Acquiring automatically high-quality street-level images from crowd-sourcing platforms; providing ground-truth dataAdapting existing image projection methods for the street-view image-to-model scenarioTesting and fine-tuning of the state-of-the-art methods for facade se-mantic segmentationAnalyzing the impact of image segmentation on 3D semantic recon-structionRequirements Sound programming skills in Python are required. Fa-miliarity with libraries such as OpenCV, Open3D, and PyTorch is highlyadvantageous. Understanding machine learning, computer vision, and pho-togrammetry fundamentals is required. Student status, CV, and the currenttranscript of records are a must (send to olaf.wysocki@tum.de).References [1] Wysocki, O., Xia, Y., Wysocki M., Grilli, E., Hoegner,