Photogrammetry and 3D Vision Lab

Abstract

The aim of the course is to provide a hands-on experience with close-range photogrammetry. The students will go through all aspects of 3D reconstruction starting with the image acquisition, camera calibration, automatic sparse geometry reconstruction, and eventually produce a final textured 3D model.

Objective

The aim of the course is to familiarize the students with both the practical aspects of close-range photogrammetric reconstruction and the theoretical foundations behind them. After passing the course, the students should be able to plan the image acquisition, perform the camera calibration, build a structure-from-motion pipeline using modern open-source libraries, produce a 3D model, and improve its quality.

Content

This course builds in part on the courses "Photogrammetrie" and "Bildverarbeitung" from the Bachelor program. It focuses on the particular challenges of automated close-range photogrammetry. The students will obtain their own images using their own cameras/smartphones, learn how to perform the camera calibration, implement some key and interesting parts of the automatic reconstruction pipeline and learn how to avoid and address common issues in 3D reconstruction.

Resources