Вернуться к Computer Vision Basics

4.2

звезд

Оценки: 1,317

•

Рецензии: 379

By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks.
This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables).
Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes.
* A free license to install MATLAB for the duration of the course is available from MathWorks....

Apr 29, 2020

Lays a good foundation for Computer Vision. There should be more programming examples as some of the labs were beyond the scope of what was taught in the videos, especially the last one.

Jul 16, 2020

I enjoyed learning about Computer Vision . The course showed me a new horizon and motivate me to discover this filed more. Thank you to All the professors ,and thank you Coursera!

Фильтр по:

автор: Dhritiman S

•Apr 26, 2019

I'll start with the positive. There were some lectures (Pinhole Camera Model) which were effective. However, this course was extremely superficial.

I'm not sure what the intention of this course was. All the material in the entire course could have been presented over the course of one week. The lectures were mere minutes long and extremely superficial. There was no practical guidance whatsoever with respect to the assignments. I passed the assignments through a lot of trial and error and by relying on prior knowledge of computer-vision and programming.

There were times when the lecturer would mention that certain algorithms would be covered in the next lecture, only to jump to another topic altogether. Not sure if the course content was accidentally uploaded like this.

автор: An M C

•May 26, 2019

This course should have a zero star. TA's are not answering the questions on the forum discussion. Both lectures and assignments are very poor in quality. It's a BIG SHAME that the University of Buffalo has such a crappy material and expects people to pay for it. It's a waste of time!!! The professors and the school should be really embarrassed to put such poor quality material and charge people for it!

автор: Dmitry F

•Jul 23, 2019

One of the worst courses on Coursera. Very superficial. What is the point of this? For example you mentioned Least Squares. In a 1 minute video. Great, what is it? How do I apply it? Nothing, instead in the optional material you send me to a pdf from a University of Puget Sound (what?!) that mentions I was supposed to learn in the class. Huh? And this happens with every concept, some names and terms are being thrown, even the quizes that are being asked right after don't always correlate with it, and in most cases you have to use your intuition, as what is being asked was not explained. The whole course can be finished in 2 evenings (which I did) and I learned absolutely nothing except very basic usage of Matlab.

автор: Harsahib S

•Jun 27, 2019

I personally do not feel the course is up to the mark.

автор: Ashish k

•Jul 11, 2019

The course was full of theoretical concepts. No practical concepts were taught by the instructors. If they didn't taught any practical concepts then why they are asking in assignments. They didn't even tell ABCD about Matlab and aspect us to solve assignments in Matlab. This is ridiculous. They should have given at least some examples to solve the assignments. I am highly disappointed with the assignment part. Rest theoretical part was good and to the point but could be more detailed.

автор: Anshuman A

•Mar 29, 2020

Almost no help in the discussion forums. We are supposed to learn matlab on our own without any assistance(even in the discussion forums) from the instructors and no intimation of the fact is given anywhere. A matlab based assignment is provided without any prompt or any introduction to matlab except for a video just telling us to read the documentation in the event of an error.

автор: Mao S

•Jun 15, 2019

The instructor gives pretty good in explaining things however the matlab assignment is frustrating after several attempts failure. More guidance probably should be given for the matlab assignment or it get really frustrating after 6 hrs stuck at the same position struggling to guess the real answer. You should at least familiar with matlab operation for getting started in this one. "intermediate level" is pretty accurate. I am a undergrad year-2 EE student at a Top 10 UK uni and this still remains a bit challenging. The overall level is OK but sometimes stuck at a same place for hours really make me wants to give up for some time.

But overall its a really good course but probably for for a total beginner.

автор: Pranay M

•Jul 04, 2019

Videos are not complete,lack examples and proper explanation.

автор: Amal J

•Mar 28, 2020

This is a very badly structured course. The lectures only give us the topic heading, no explanations or practical is given. The programming assignment is a nightmare. Instead of MatLab, they could have used python/OpenCV. Also, there is no helps for the Matlab assignments, you are on your own. I don't recommend anyone this course. What you could learn from this course could be learned in 30 minutes reading randing blogs. Save yourselves some time.

автор: Boris G

•Oct 31, 2019

This course is so basic, it should be rather called "Basic Image Processing in Matlab for dummies". The lecturer gives whole bunch of names of complex algorithms without giving even tiny details. The entire course can be finished in one day. The matlab assignments are of poor quality and without any indications or advices on how to proceed them better.

автор: Mikael B

•Sep 12, 2019

Plain awful

автор: Peter R

•Sep 19, 2019

Probably the 2nd worst Coursera/edX class I have ever taken (part 2 of this specialization is even worse!). Why do I say that? Well a typical week consists of watching a few videos where the Indian bloke waves his right hand around in a very annoying/distracting manner, followed by some multiple choice quizzes that have little to do with the video you just watched, and that the videos do not necessarily prepare you to answer. Then they want you to read some Wikipedia pages, and finally there's a problem that has to be solved with MATLAB. Again, there is little to nothing in the material presented in the lectures to help you solve the graded problems. At best, this course reminded me of stuff I mostly already knew, and enabled me to brush up on my rusty MATLAB programming skills. This is an interesting topic, and the course could have been so much better. Definitely not good value for the money. On the plus side, it only takes a few hours a week for 4 weeks to complete the whole thing, and they don't make you grade your fellow students' homework - the grading is automated. Which was nice.

автор: Evan R

•Jun 17, 2019

There isn't enough in the free version of the course to push me to make a purchase. If Matlab guidance is lacking on some examples I have no faith it would be any better once I unlock the assignments. I may be biased after taking the Machine Learning course but the contrast between the two is stark. This course feels like someone is talking at you for a couple of hours rather than guiding you through material.

автор: Praveen k G

•Dec 14, 2019

Kindly do justice for the amount paid in enrolling for the course. Subjects are taught in fast-track without proper illustrations. Students had to rely on external sources to complete the assignments. I don't know for what purpose quizzes have been set.

автор: Aditya J D

•Apr 11, 2020

Doesnt teach anything related to matlab CV or any code for CV

Its just some guy swimming in air and talking stuff about CV that everyone knows

автор: Krithick N S

•Oct 05, 2019

Found the level of the course to be very low and the quality too is insanely not worth it. I would have given a zero if possible.

автор: Ankam H T

•Apr 10, 2020

The content showed did not match in any way with the assignments. Also, I expected some guidance to continue from here on.

автор: Ziyad A

•Jul 25, 2019

The material is really poor for the assignments. Not enough guidance is provided that I ended up trying randomly to solve some of the problems.

автор: Sandesh B

•Mar 27, 2020

Literally the basics of Computer Vision. Not explained in too much detail for that matter.

автор: Alaa M H

•Nov 03, 2019

The content is not sufficient to understand and the explanation is very bad.

автор: Aayush A

•May 06, 2019

The course content is good.There are too many examples and applications.I use python but using MATLAB for the computer vision is new experience for me.

автор: Raunak B

•Apr 26, 2020

I didn't like it very much.

The course contained just the history of computer vision,there was nothing related to programming in it.The programming assignments were just simple 2-3 lines of Matlab functions. The last week's assignment was the only good part which I found in the whole course.

Overall i didn't expect the course to be like this and to be honest apart from knowing about the history of Computer Vision i didn't get to learn anything else much.

автор: Mike P

•Apr 28, 2020

Very good course if you keep in mind this is a "basics" course meant to introduce the subject only. No in-depth technical analysis, it provides only core concepts and definitions. The MATLAB sections are useful in understanding the the nitty-gritty details, especially the Week 4 assignment,

автор: Adedeji O

•Apr 29, 2020

Lays a good foundation for Computer Vision. There should be more programming examples as some of the labs were beyond the scope of what was taught in the videos, especially the last one.

автор: Ali K M

•Jun 15, 2019

This course is a good course to start computer vision for beginner level student, and I offer This course to everyone who is eager to learn computer vision conceptually.

- Искусственный интеллект для каждого
- Введение в TensorFlow
- Нейронные сети и глубокое обучение
- Алгоритмы, часть 1
- Алгоритмы, часть 2
- Машинное обучение
- Машинное обучение с использованием Python
- Машинное обучение с использованием Sas Viya
- Программирование на языке R
- Введение в программирование на MATLAB
- Анализ данных с Python
- Основы AWS: введение в облачные приложения
- Основы Google Cloud Platform
- Обеспечение надежности веб-сервисов
- Разговорный английский язык на профессиональном уровне
- Наука благополучия
- Научитесь учиться
- Финансовые рынки
- Проверка гипотез в здравоохранении
- Основы повседневного руководства

- Глубокое обучение
- Python для всех
- Наука о данных
- Прикладная наука о данных с Python
- Основы бизнеса
- Разработка архитектуры на платформе Google Cloud
- Инженерия данных на платформе Google Cloud
- От Excel до MySQL
- Продвинутое машинное обучение
- Математика в машинном обучении
- Беспилотные автомобили
- Блокчейн для организаций
- Бизнес-аналитика
- Навыки Excel для бизнеса
- Цифровой маркетинг
- Статистический анализ в здравоохранении на языке R
- Основы иммунологии
- Анатомия
- Управление инновациями и дизайн-мышление
- Основы позитивной психологии

- ИТ-поддержка Google
- Специалист IBM по привлечению клиентов
- Наука о данных IBM
- Прикладное управление проектами
- Профессиональная сертификация IBM в области прикладного ИИ
- Машинное обучение для Analytics
- Пространственный анализ данных и визуализация
- Проектирование и управление в строительстве
- Педагогический дизайн