CV Chapter 7 3D Reconstruction
Questions about the lecture 'Computer Vision' of the RWTH Aachen Chapter 7 3D Reconstruction
Questions about the lecture 'Computer Vision' of the RWTH Aachen Chapter 7 3D Reconstruction
Set of flashcards Details
| Flashcards | 108 |
|---|---|
| Language | English |
| Category | Computer Science |
| Level | University |
| Created / Updated | 04.02.2017 / 23.02.2017 |
| Licencing | Not defined |
| Weblink |
https://card2brain.ch/box/20170204_cv_chapter_7_3d_reconstruction
|
| Embed |
<iframe src="https://card2brain.ch/box/20170204_cv_chapter_7_3d_reconstruction/embed" width="780" height="150" scrolling="no" frameborder="0"></iframe>
|
What are cues for 3D recovery? [5]
1. Shading
2. Texture
3. Focus
4. Perspective
5. Motion
Which kind of geometry is necessary for stereo vision?
Multi-view geometry
What is the generic problem formulation for stereo vision?
“Given several images of an object or scene, compute 3D shape”
What is the narrower problem formulation for stereo vision?
“Given calibrated binocular stereo pair, fuse it to depth image”
What is the definition of triangulation in epipolar geometry?
Reconstruction as intersection of two rays
What is required for triangulation in epipolar geometry? [2]
1. Point correspondence
2. Camera pose or calibration
What are the two different set of parameters for camera calibration in triangulation in epipolar geometry? [2]
1. Extrinsic and 2. intrinsic
What does the extrinsic parameters describe for camera calibration in triangulation in epipolar geometry?
Camera ↔ reference frame
