TU Wien:Computer Vision VU (Sablatnig)/Prüfung 2018-12-07
Zur Navigation springen
Zur Suche springen
Fragen wie gehabt, zusätzlich kam noch:
Machine Learning[Bearbeiten | Quelltext bearbeiten]
Erkläre folgende Begriffe:
- Supervised vs. Unsupervised Learning
- Generalization
- Gradient descent
Deep Learning[Bearbeiten | Quelltext bearbeiten]
- Difference between the "classical" machine learning pipeline in computer vision and deep learning methods.
- Explain autoencoders and how they are applied in deep learning.
Interest Points[Bearbeiten | Quelltext bearbeiten]
Explain:
- Why repeatable?
- Why scale - invariant?
- Why locally information rich?
Reconstruction[Bearbeiten | Quelltext bearbeiten]
- What is structure from motion?
- Given Fundamental matrix between two cameras and a point x in one image, what can you say about the corresponding point in the second image?