Chevron Left
Вернуться к Computer Vision Basics

Отзывы учащихся о курсе Computer Vision Basics от партнера Университет штата Нью-Йорк в Баффало

4.2
звезд
Оценки: 1,749

О курсе

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....

Лучшие рецензии

AO

28 апр. 2020 г.

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.

ZL

15 июля 2020 г.

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:

201–225 из 495 отзывов о курсе Computer Vision Basics

автор: Siddharth R

7 июля 2020 г.

excellent course

автор: Rahul D

13 июня 2020 г.

Excellent course

автор: Prashant K G

7 июня 2020 г.

excellent course

автор: VISHAL K K

17 мая 2020 г.

very nice course

автор: HARI I

24 сент. 2020 г.

Great Learning.

автор: KL S

8 мая 2020 г.

great beginning

автор: Ajay B

20 июля 2020 г.

Well designed.

автор: AMIT N

22 июня 2020 г.

Great Learning

автор: Dr. R K P

27 апр. 2020 г.

good beginning

автор: Ira I

14 мая 2020 г.

Great course!

автор: Pratik M P

30 апр. 2020 г.

superb course

автор: Vaidhyanathan S M

23 апр. 2020 г.

Great Course!

автор: Nursultan A

30 сент. 2020 г.

thanks a lot

автор: Nikhil K

8 июля 2020 г.

Good course.

автор: adeel a

24 июня 2020 г.

Good course

автор: MD A R A

23 июня 2020 г.

Excellent!!!

автор: JEET G 1

23 июня 2020 г.

Great course

автор: Pranesh k

10 июня 2020 г.

Great Course

автор: Karan A

27 мая 2020 г.

great course

автор: Betsy G

12 июня 2019 г.

very usefull

автор: CHESTI A H

31 окт. 2020 г.

nice course

автор: Aditya M P

13 сент. 2020 г.

Good course

автор: Sohag S

31 июля 2020 г.

Good Course

автор: Pavan k

13 июля 2020 г.

Good course

автор: Sameema A

3 июля 2020 г.

Good course