Photogrammetry 1 Course | University of Bonn

Comprehensive introduction to photogrammetry, covering camera basics, image processing, geometric transformations, and more. Hands-on learning with Python and Jupyter Notebook.

Introduction

The Photogrammetry 1 Course - 2020 at the University of Bonn provides a comprehensive introduction to the field of photogrammetry, covering a wide range of topics from camera basics and image processing techniques to advanced concepts such as geometric transformations, classification, and camera calibration.

Highlights

• Covers fundamental concepts of photogrammetry, including camera basics, histograms, binary images, and local operators
• Introduces Python programming and tools like Jupyter Notebook for hands-on learning
• Explores visual features, such as keypoints and descriptors, and their applications
• Delves into advanced topics like dimensionality reduction, clustering, and camera parameter estimation
• Offers live tutorials and Q&A sessions for interactive learning

Recommendation

This course is highly recommended for students, researchers, or professionals interested in the field of photogrammetry and computer vision. It provides a solid foundation in the principles and techniques of photogrammetry, as well as practical experience in applying these concepts using Python and Jupyter Notebook. The course is suitable for both beginners and those with some prior knowledge in the subject.