<h3 id="heading-textbook">Textbook</h3>
<p>Computer Vision: Algorithms and Applications, 2nd ed. / Richard Szeliski  </p>
<h3 id="heading-what-is-computer-vision">What is Computer Vision?</h3>
<ul>
<li>Simulating human eyes</li>
</ul>
<h3 id="heading-what-do-computers-see">What do computers see?</h3>
<ul>
<li>pixels with int value</li>
</ul>
<h3 id="heading-human-perception">Human perception</h3>
<ul>
<li>sees illusions</li>
</ul>
<h3 id="heading-computer-vision-techniques">Computer Vision Techniques</h3>
<ul>
<li>Image classification</li>
<li>Object detection</li>
<li>Object tracking</li>
<li>Image segmentation: <em>to divide a image by objects or else</em></li>
<li>Keypoint detection: <em>to reveal more detail (e.g. to find out joint in human arm)</em></li>
<li>Person segmentation</li>
<li>Depth perception: <em>as well as 3D depth on objects</em></li>
<li>Image captioning: <em>to create a caption that describes the image</em></li>
<li>3D object reconstruction: <em>extract 3D objects from 2D images</em></li>
<li>SLAM: <em>Simultaneous Localization and Mapping</em></li>
</ul>
<h3 id="heading-applications">Applications</h3>
<ul>
<li>Segmentation and matting: <em>e.g. blurring background</em></li>
<li>3D maps</li>
<li>Computational photography</li>
<li>3D photos</li>
<li>Face recognition, Vision based biometrics</li>
<li>Special effects, Shape capture</li>
<li>Sports</li>
<li>Games</li>
<li>Virtual reality</li>
<li>Smart cars</li>
<li>Drones</li>
</ul>


### Textbook
Computer Vision: Algorithms and Applications, 2nd ed. / Richard Szeliski  

### What is Computer Vision?
- Simulating human eyes

### What do computers see?
- pixels with int value

### Human perception
- sees illusions

### Computer Vision Techniques
- Image classification
- Object detection
- Object tracking
- Image segmentation: *to divide a image by objects or else*
- Keypoint detection: *to reveal more detail (e.g. to find out joint in human arm)*
- Person segmentation
- Depth perception: *as well as 3D depth on objects*
- Image captioning: *to create a caption that describes the image*
- 3D object reconstruction: *extract 3D objects from 2D images*
- SLAM: *Simultaneous Localization and Mapping*

### Applications
- Segmentation and matting: *e.g. blurring background*
- 3D maps
- Computational photography
- 3D photos
- Face recognition, Vision based biometrics
- Special effects, Shape capture
- Sports
- Games
- Virtual reality
- Smart cars
- Drones



Computer Vision: Intro

Textbook

What is Computer Vision?

Computer Vision: Intro

Table of contents

Textbook

What is Computer Vision?

What do computers see?

Human perception

Computer Vision Techniques

Applications