Not a beginner friendly course, very little explaination !

All topics are quickly covered and details are skipped. Learners without image processing knowledge or advanced math 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 was given, not a single coding assignment exists !

Worst course I've ever taken. Those giving 5 stars probably already known all the things.

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.

Good introduction to camera and imaging topics - great first course for the First Principles of Computer Vision Specialization program.

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.

brief introduction to image processing and camera, yet very much informative. many of the theoretical subjects are covered in a very intuitive way. some parts need some background on signal processing and calculus, which without that, it would be hard to understand. this is one of those courses that I would suggest to anyone who wants to explore the general idea behind image processing with zero background (even half of the signal processing parts could be understood without any engineering degree and only high school math).

This gives a quick review of the basics of optics and Fourier transforms, and some of the other math and algorithms associated with vision. The topics can be a little quick at times. If you haven't already done a course in Fourier transforms, for instance, you can easily get lost in the overview. The presentation does of good job of capturing the qualitative aspects, but you may get lost in the details when taking the quizzes.

The strength here is the good, clear presentation of the topics.

The Camera and Imaging course delivers on the promise of teaching the first principles of computer vision from optics and imaging systems to the basics of image processing. The lectures are very high quality and easy to follow and the quizes reinforce the material from lecture. I look forward to taking more courses in this specialization.

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.

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!

The course was great and the explanations were to the point! I would definitely recommend to anyone starting with cameras and vision!

Prof. Nayar is an excellent speaker and the slides are well-structured and easy to understand. Thank you!

very interesting class and proud content for learning. Thanks, teacher and contributor.

The best course on Coursera in terms of clarity, pace, quality of materials.

Thank you!

An awesome course that covers all the important image and processing fundamentals.

Good course for learning fundamentals in image processing.

Excellent teaching. Concise and clear. Highly recommended.

Great course for starting to learn Computer Vision.

Good contents to cover basic camera and imaging.

Wonderful course by an excellent instructor.

Very good theoretical background