SmartVHB
With the support of
Virtuelle Hochschule Bayern, we have created a repository of blended learning units in the area of Computer Vision. They are intended to help students focus on specific learning objectives within 45 minutes of self study and can be integrated free of charge by teachers at all Bavarian University in their curriculum.
If you are a teacher or student enrolled at a Bavarian university, you can access the units here:
smart.vhb.org.
For selected units, there is also accompanying source code. For users outside (and inside) of Bavaria, we make this code available as Jupiter Notebooks on
mybinder.org and
gitlab.com.
The units cover the following topics:
- Absolute Orientation
- Bayesian Optimization 101
- Camera Calibration and Direct Linear Transformation
- Correlation and Convolution
- Eigendecomposition
- Epipolar Geometry
- Feature Detection
- Feature Description
- Feature Matching
- Gauss-Newton Optimization
- Gradient Descent
- Iteratrive Closest Point
- Image Formation using Perspective Projection
- Levenberg-Marquardt Algorithm (Damped Least Squares)
- Linear Least Squares 101
- Marker-based Pose Estimation
- Non-Linear Least Squares 101
- Optical Flow
- Optical See-Through Calibration
- Parametrisations of 3D Rotations
- Perspective-N-Point
- Principal Component Analysis
- Projector-Camera Calibration
- Random Sample Consensus (RANSAC)
- Singular Value Decomposition
- Stereo Correspondences
- Structure from Motion (SfM) 101
- Triangulation
The following units are under development and will be made available during 2021:
Computer Vision:
- Cholesky Decomposition
- LU Decomposition
- Comvolutional Neural Networks 101
- Eye Tracking 101
Statistics:
- Aligned Rank Transform
- Analysis of Variance (ANOVA) 101
- Friedman test
- Contrasts and multiple comparisons
- Kruskal-Wallis ANOVA
- Mann-Whitney-U test
- Repeated-Measures ANOVA
- Student's t-test
- Wilcoxon signed-rank test
Human-Computer Interaction:
- Evaluation in Human-Computer Interaction 101
- Fitts' Law 101
- Fitts' Law for multiple dimensions
- Goals, Operators, Methods and Selection Rules (GOMS)
- Hick’s Law
- Hierarchical Task Analysis
- Interaction Styles in Human-Computer Interaction
- Keystroke-Level-Model (KLM)
- Mental models for Human-Computer Interaction
- Steering Law
Mixed Reality:
- Head-Tracking for immersive head-mounted displays
- Interaction techniques for 3D user interfaces
- Raycasting 101
- Stereoscopic image generation