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[学习笔记] CS131 Computer Vision: Foundations and Applications:Lecture 1 课程介绍
阅读量:4346 次
发布时间:2019-06-07

本文共 831 字,大约阅读时间需要 2 分钟。

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

 

 

转载于:https://www.cnblogs.com/vincentcheng/p/7919875.html

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