General Information
Information: Welcome to the Photogrammetry I Course of 2020
Slides: see eCampus
Course Content (Photogrammetry I)
- Welcome to the Photogrammetry I Course of 2020
- Introduction to Photogrammetry
- Python Crash Course, Jupyter Notebook, Python NumPy Matplotlib Tutorial (External)
- Camera Basics
- Histograms
- Binary Images
- Local Operators
- Cross Correlation
- Least Squares Matching
- Förstner Operator
- Visual Features: Keypoints
- Visual Features: Descriptors
- Geometric Transformations
- Classification
- Ensemble Classification
- Dimensionality Reduction
- Clustering
- Homogeneous Coordinates
- Camera Paramters: Intrinsics and Extrinsics
- Direct Linear Transform
- Zhang’s Calibration Method
- Spatial Resectioning
Download all 2020 exercises for all our courses: ZIP-Archive.
Week 1 – 06.04.2020-10.04.2020
Lecture: Introduction to Photogrammetry
Slides: see eCampus
External: Python Crash Course For Beginners
External: Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
Zoom: Live Tutorial on Python/Jupyter/Assignments
Date: 09.04.2020
Zoom Link, see eCampus
Tutorial 01 – Python/Jupyter/Assignments by Louis Wiesmann
Homework Assignment 1
Given out: 09.04.2020
Deadline: 24.04.2020
See eCampus
Week 2 – 13.04.2020-17.04.2020
External: Python NumPy for Beginners
External: Matplotlib (Part 1): Creating and Customizing Our First Plots
Zoom: Live Tutorial Computer Vision with Python
Date: 15.04.2020
Zoom Link, see eCampus
Tutorial 02 – Computer Vision with Python (Jan Weyler)
Homework Assignment 2
Given out: 15.04.2020
Deadline: 30.04.2020
See eCampus
Zoom: Live Question & Answers Session
Date: 16.04.2020
Zoom Link, see eCampus
Week 3 – 20.04.2020-24.04.2020
Lecture: Camera Basics
Slides: see eCampus
Lecture: Histograms Part 1
Slides: see eCampus
Lecture: Histograms Part 2
Slides: see eCampus
Week 4 – 27.04.2020-01.05.2020
Lecture: Binary Images Part 1
Slides: see eCampus
Lecture: Binary Images Part 2
Slides: see eCampus
Lecture: Binary Images Part 3
Slides: see eCampus
Week 5 – 04.05.2020-08.05.2020
Lecture: Local Operators Part 1
Slides: see eCampus
Lecture: Local Operators Part 2
Slides: see eCampus
Week 6 – 11.05.2020-15.05.2020
Lecture: Cross Correlation
Slides: see eCampus
Lecture: Least Squares Matching
Slides: see eCampus
Week 7 – 18.05.2020-22.05.2020
Lecture: Förstner Operator
Slides: see eCampus
Lecture: Visual Features: Keypoints
Slides: see eCampus
Week 8 – 25.05.2020-29.05.2020
No lectures (Städtebauseminar)
Week 9 – 01.06.2020-05.06.2020
Lecture: Visual Features: Descriptors
Slides: see eCampus
Lecture: Geometric Transformations Part 1
Slides: see eCampus
Lecture: Geometric Transformations Part 2
Slides: see eCampus
Week 10 – 06.06.2020-12.06.2020
Lecture: Classification
Slides: see eCampus
Week 11 – 15.06.2020-19.06.2020
Lecture: Ensemble Classification
Slides: see eCampus
Week 12 – 22.06.2020-26.06.2020
Lecture: Dimensionality Reduction
Slides: see eCampus
Lecture: Clustering
Slides: see eCampus
Week 13 – 29.06.2020-03.07.2020
Lecture: Homogeneous Coordinates
Slides: see eCampus
Week 14 – 06.07.2020-11.07.2020
Lecture: Camera Paramters: Intrinsics and Extrinsics
Slides: see eCampus
Week 15 – 15.07.2020-19.07.2020
Lecture: Direct Linear Transform
Slides: see eCampus
Lecture: Zhang’s Calibration Method
Slides: see eCampus
Lecture: Projective 3-Point Algorithm/Spatial Resectioning
Slides: see eCampus
To be recorded
Lecture: Summary
Slides: see eCampus