Sebastian Hoppe Nesgaard Jensen: 3D vision technology is the process of estimating 3D geometry from 2D image data.
In recent years, it has reached a maturity that allows for real world usage, no longer being confined to a laboratory. We see this in the availability of commercial 3D scanners (e.g. Kinect, RealSense, GOM) and their many applications (e.g self-driving cars, automation, quality control). However, as any engineer knows the transition from lab to real world application is not trivial, often with unforeseen challenges. In this sense, much 3D vision technology is built on an unknown foundation, as there have been few studies on it's practical problems and limitations.
This thesis contributes to several subjects within the field of 3D vision with such studies. We achieve this goal through system engineering for relevant industrial problems, dataset creation for quantitative analysis and factorial statistics for proper evaluation.
Effective start/end date 01/12/2014 → 16/05/2018
Published as PhD report: Applied 3D Vision - An Empirical Study
DTU supervisor: Henrik Aanæs from the section for Section for Visual Computing at DTU Compute.