本文介绍了斯坦福大学计算机视觉课程的大纲及目标。该课程旨在教授如何从数字图像中提取信息并建立理解图像内容的算法。文章还探讨了计算机视觉面临的挑战，即如何填补像素与意义之间的巨大鸿沟。
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
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