生也有涯,知也无涯。这篇文章主要讲述[学习笔记] CS131 Computer Vision: Foundations and Applications:Lecture 1 课程介绍相关的知识,希望能为你提供帮助。
【[学习笔记] CS131 Computer Vision: Foundations and Applications(Lecture 1 课程介绍)】课程大纲:http://vision.stanford.edu/teaching/cs131_fall1718/syllabus.html
课程定位:
![[学习笔记] CS131 Computer Vision: Foundations and Applications(Lecture 1 课程介绍)](http://img.readke.com/220429/2043305645-0.jpg)
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课程交叉:
![[学习笔记] CS131 Computer Vision: Foundations and Applications(Lecture 1 课程介绍)](http://img.readke.com/220429/2043304160-1.jpg)
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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.
![[学习笔记] CS131 Computer Vision: Foundations and Applications(Lecture 1 课程介绍)](http://img.readke.com/220429/204330M39-2.jpg)
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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:
![[学习笔记] CS131 Computer Vision: Foundations and Applications(Lecture 1 课程介绍)](http://img.readke.com/220429/20433044D-3.jpg)
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what kind of information can we with draw from a imgae?
- 3d matrix
- semantic information
![[学习笔记] CS131 Computer Vision: Foundations and Applications(Lecture 1 课程介绍)](http://img.readke.com/220429/204330J48-4.jpg)
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