創建者 Derek
•2022年5月16日
Not a beginner friendly course, very little explaination !
All topics are quickly covered and details are skipped. Learners without image processing knowledge or advanced calculus will easily struggle and get stuck. Furthermore, after hours and hours trying to understand strange equations that the lecturer quicky covered, leaners would be frustrated as those equations won't be used or even seen again. Most importantly, not a single example is given.
Worst course I've ever taken. Those who giving 5 stars are probably already know all the things
創建者 Andrew
•2022年5月10日
I'm giving 1 star because of this description: "Students are required to know the fundamentals of linear algebra and the fundamentals of calculus. No prior knowledge of imaging or computer vision are assumed."
in fact, the teacher taught as if he assumed you have prior knowledge of imaging or computer vision. Complex maths were not well covered, discussion forum was helpless.
創建者 Guy S
•2021年11月2日
Good introduction to camera and imaging topics - great first course for the First Principles of Computer Vision Specialization program.
創建者 Fernando M
•2022年1月12日
I was expecting to actually learn about how to choose a camera for Computer Vision application. Concepts like resolution for a certain application, FOV, sensor size needed to be included on this course.
創建者 Guillermo C
•2022年1月20日
Very clear and entertaining. The content and quizes are easy and do not require much extra study (other than watching the videos). Nonetheless, as an introduction to the subject it feels very complete.
創建者 Hank S
•2022年5月28日
This was a great introduction to image processing. I learned a lot that's applicable to my current job. I expect the follow on courses to improve that learning!
創建者 胡纲
•2022年5月8日
Good contents to cover basic camera and imaging.
創建者 JETHE K
•2022年1月14日
The lectures are amazing!!!
創建者 Olivier P
•2021年12月13日
Really well explained !!!
創建者 Henry R
•2021年12月19日
Some topics are too advanced for a beginner course.
Some basic and fundamental materials are not clearly covered. It requires a lot work for students to study some fundamental materials if students are not familiar with signal and image processing.