Gaussian processes for 3D measurements Universiteit Antwerpen
n this dissertation we explore the usage of probabilistic machine learning techniques for calibrating 3D measuring devices and applications. More specifically, we focus on Gaussian processes and line geometry. The research focuses on four main topics: galvanometric setup calibration, surface approximation, camera calibration, and the clinical application of mapping visuospatial neglect. We present a semi-data-driven approach to calibrate ...