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Volver a Computer Vision Basics

Opiniones y comentarios de aprendices correspondientes a Computer Vision Basics por parte de University at Buffalo

4.2
estrellas
1,728 calificaciones
495 reseña

Acerca del Curso

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....

Principales reseñas

AO
28 de abr. de 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.

ZL
15 de jul. de 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!

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151 - 175 de 494 revisiones para Computer Vision Basics

por Pankaj K

24 de may. de 2020

Best Ever Course on Computer Vision Basics.

por Khairul A

11 de nov. de 2021

Thank you for knowledge and certificate...

por OPERA N

12 de ago. de 2020

Thank you so much give me the opportuity.

por D. A K

28 de abr. de 2020

Good course for learning Computer vision

por Rajat G

18 de abr. de 2020

It was great learning experience for me.

por Hamora H

3 de jul. de 2020

This's the best course for me

Thanks! :)

por Subha p C

2 de jul. de 2020

session was more informative and useful

por Muhammad N

15 de may. de 2020

I have learn many tools in this course

por Dicky P

12 de jul. de 2020

very much useful. thank you very much

por Alptug P

3 de jul. de 2020

Nice course for an advanced learner!

por Dr. K T

13 de jun. de 2020

Problems can be defined more clearly

por Waliu M

13 de ago. de 2020

Detailed and simplified course....

por Rushikesh T

5 de jun. de 2020

Very good course from courseera

por R.M V

27 de abr. de 2020

Excellent Course For Beginners.

por Patrick F

22 de jun. de 2020

Interesting and great course!!

por Ansh B

14 de jun. de 2020

Very In-Depth and informative.

por Suraj B

24 de may. de 2020

Best for basic Computer Vision

por Michael B

22 de abr. de 2020

very interesting & challenging

por Mohamed A G

4 de dic. de 2020

I can speak to my camera! wow

por RAJA A

12 de jul. de 2020

Very Knowlege Increase a Home

por Ritashree R

2 de jul. de 2020

Very good and helpfull cource

por Shah W K

24 de jun. de 2020

Excellent, very much helpful

por Somesh K

29 de may. de 2020

It was fun doing the course.

por Suyash g

28 de may. de 2020

explanation was nice an good

por Hasitha N

21 de nov. de 2020

good introduction was done.