Photogrammetry Course | University of Bonn, Germany

University of Bonn

Comprehensive introduction to photogrammetry principles, techniques, and applications for students, researchers, and professionals.

University CoursesComputer Vision

Introduction

This course provides an introduction to the principles and techniques of photogrammetry, which is the science of making measurements from photographs. The course covers the fundamental concepts, methods, and applications of photogrammetry.

screenshot

Highlights

  • Covers the principles and techniques of photogrammetry
  • Includes both Photogrammetry I and II lectures
  • Provides hands-on experience with photogrammetric software and techniques
  • Taught by experts from the University of Bonn, Germany

Recommendation

This course is recommended for students, researchers, and professionals interested in learning about the field of photogrammetry and its applications in areas such as surveying, mapping, and 3D modeling. The course provides a comprehensive introduction to the subject and is suitable for both beginners and those with some prior knowledge in the field.

YouTube Videos

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

UvA Deep Learning Course | Artificial Intelligence | Computer Vision

3
University CoursesComputer VisionDeep LearningMachine Learning
Comprehensive course on the theory and applications of deep learning, with a focus on computer vision and language modelling. Taught by experienced faculty from the University of Amsterdam.

Computer Vision | Artificial Intelligence | Cornell University

13
University CoursesArtificial IntelligenceComputer Vision
Explore the foundations of computer vision and AI with hands-on projects. Gain practical experience in implementing cutting-edge algorithms for real-world applications.

OpenCV Tutorials

0
Technical TutorialsComputer GraphicsComputer VisionOpenCV
Learn image processing, video analysis, and more with hands-on OpenCV tutorials. Suitable for beginners and experienced developers.

Computational Techniques in Pixel Processing | Image Processing, Computer Vision

0
University CoursesComputer GraphicsComputer VisionImage Processing
Comprehensive course on computational techniques for pixel processing, including image enhancement, restoration, segmentation, and analysis. Taught by expert George Wolberg at Columbia University.

Shape Analysis | Computer Graphics, Computer Vision, Geometric Data Processing

0
University CoursesComputer GraphicsComputer Vision
Explore the fundamental concepts and techniques of shape analysis at MIT. Hands-on projects, experienced faculty, and a solid foundation in geometric data processing.

High-Level Vision | Computer Vision, Machine Learning, Deep Learning

0
University CoursesComputer VisionDeep Learning
Comprehensive course on advanced computer vision techniques, including object detection, recognition, and segmentation. Hands-on experience with state-of-the-art algorithms and real-world applications.

Advanced Computer Vision | CBCSL OSU

0
University CoursesComputer VisionDeep Learning
Comprehensive course on cutting-edge computer vision algorithms, deep learning techniques, and real-world applications.

Introduction to Image Processing & Computer Vision | CBCSL OSU

0
University CoursesComputer VisionImage Processing
Comprehensive course on image processing and computer vision techniques, taught by experts from Ohio State University's CBCSL.

Image and Multidimensional Signal Processing | Colorado School of Mines

0
University CoursesComputer VisionSignal Processing
Comprehensive course on image and multidimensional signal processing techniques, with hands-on experience and real-world problem-solving skills.