# TU Wien:Computer Vision VU (Sablatnig)/Prüfung 2019-03-08

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90 Minuten Zeit, nur eine Gruppe, Taschenrechner für letzte Frage erforderlich

## Contents

### Camera True/False Kreuzerl (-1 Point for wrong answers)[edit]

- In contrast to lenses the pinhole camera projects an orthographic image
- Perspective Projection is a non-linear transform
- Parallel lines remain parallel in perspective projection
- Camera measures part of plenoptic function
- Focal length is a extrinsic camera parameter
- Texture is a depth cue

### Machine Learning[edit]

- Supervised vs. Unsupervised
- Generalization
- Gradient Descent

### Harris[edit]

Describe how constructed

### Gaussian[edit]

- Describe what is Gaussian Pyramid and how is it constructed
- Describe how Laplacian Pyramid can be constructed from

### SIFT[edit]

- Describe how Sift is made scale-invariant?
- Is vl_dsift scale-invariant, argument why?

### Epilar Definitions[edit]

- Baseline
- Epipol
- Epipolar line
- Disparity
- Fundamental Matrix

### Stereo True/False Kreuzerl (-1 Point for wrong answers)[edit]

- In Structure-from-Motion the location of the 3D Scene Point and the Camera Point is calculated
- BRDF is given per material
- A Trifocal-Tensor is a relationship between 3 views of the scene
- With P given the 3D Scene Point can be reconstructed
- Disparity is a binocular depth cue
- Essential Matrix is 3x3

### Bag of Words[edit]

- How is codeword dictionary generated?
- What is representation of image for classification?

### Gabor[edit]

- What are Gabor Wavelets?
- What is the Real and Imaginary Component?

### RANSAC[edit]

- 300 correct matchings in 500 features, what is the probability of drawing 4 inliers?
- How many runs are necessary to construct a correct homography with 99% confidence.
- Why is it good to construct the final homography from all inliers of the best run?