[学习笔记] CS131 Computer Vision: Foundations and Applications:Lecture 1 课程介绍
Posted VincentCheng
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了[学习笔记] CS131 Computer Vision: Foundations and Applications:Lecture 1 课程介绍相关的知识,希望对你有一定的参考价值。
课程大纲:http://vision.stanford.edu/teaching/cs131_fall1718/syllabus.html
课程定位:
课程交叉:
what is (computer) vision?:
1. a scientific field that extracts information out of digital images.
2. building algorithms that can be understand the contnent of image and use it for other applications.
Vision: sensing device + interpreting device
In the first part, cameras are better than humans, they can see far away and see more information, in ther second part, computer vision lags behind human.
The task of computer vision:
bridge the gap between pixels and meaning
why computer vision is so hard?
because there is a huge gap between pixels and meaning.
original of computer vision:
what kind of information can we with draw from a imgae?
- 3d matrix
- semantic information
Breath and Depth
以上是关于[学习笔记] CS131 Computer Vision: Foundations and Applications:Lecture 1 课程介绍的主要内容,如果未能解决你的问题,请参考以下文章
[学习笔记] CS131 Computer Vision: Foundations and Applications:Lecture 2 颜色和数学基础
[学习笔记] CS131 Computer Vision: Foundations and Applications:Lecture 4 像素和滤波器