Course Outline: http://vision.stanford.edu/teaching/cs131_fall1718/syllabus.html
Course Orientation:
Course Crossover:
What is (computer) vision?:
1. A scientific field that extracts information out of digital images.
2. Building algorithms that can is understand the contnent of image and use it for other applications.
Vision:sensing device + Interpreting device
In the first part, cameras is better than humans, they can see far away and see more information, in ther second part, C Omputer vision lags behind human.
The task of computer vision:
Bridge the gap between pixels and meaning
Why computer vision was so hard?
Because there is a huge gap between pixels and meaning.
Original of computer vision:
What kind of information can we have with draw from a imgae?
- 3d matrix
- Semantic information
Breath and Depth
[Learning Notes] CS131 computer vision:foundations and Applications:lecture 1 Course introduction