vault backup: 2023-03-30 13:19:09

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Jet Hughes 2023-03-30 13:19:09 +13:00
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---
title: "10-3d-Cameras"
tags:
- lecture
- cosc342
---
CAMERAS AND PROJECTIONS
- Cameras project the 3D world onto a 2D image
- Input is 3D points: (𝑥, 𝑦, 𝑧)
- Output is 2D points: (𝑢, 𝑣)
![matrix|100](https://i.imgur.com/bMo02GG.png)
- What form should P have?
> [!INFO] need to apply a transformation to convert 3d coords to 2d coords
> P should be a 3 row and 4 column matrix
WHICH CUBE LOOKS RIGHT?
![](https://i.imgur.com/sYpeZvX.png)
> [!INFO] each cube is a projection of 3d points onto 2d space.
> middle cube is perspective transformation
> left is isometric
> right is orthographic
ORTHOGRAPHIC PROJECTION
- Simple way to go from 3D to 2D
- Delete one dimension!
- Deleting X projects to the X -Y plane
![matrix equation](https://i.imgur.com/J2fPAp5.png)
- This is not how our eyes work
> [!INFO] z coordinate is removed since the third column is zero
PERSPECTIVE PROJECTION
- Our view of the world:
- Distant objects looks smaller
- Parallel lines in 3D converge in 2D
- The pinhole camera
- A simple, but useful, model
- There is a central point of projection (the pinhole, often a lens in reality)
- Light travels from the world, through the pinhole, to the image plane

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- [x] [[06-homographies]]
- [[08-visual-tracking-and-matching]]
- [[09-3d-geometry]]
- [[10-3d-Cameras]]
# Info