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Computer Vision Basics(으)로 돌아가기

뉴욕주립대학교 버펄로 캠퍼스의 Computer Vision Basics 학습자 리뷰 및 피드백

4.2
별점
1,749개의 평가

강좌 소개

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....

최상위 리뷰

AO

2020년 4월 28일

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

2020년 7월 15일

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!

필터링 기준:

Computer Vision Basics의 495개 리뷰 중 151~175

교육 기관: Pankaj K

2020년 5월 24일

Best Ever Course on Computer Vision Basics.

교육 기관: Khairul A

2021년 11월 11일

Thank you for knowledge and certificate...

교육 기관: OPERA N

2020년 8월 12일

Thank you so much give me the opportuity.

교육 기관: Anil K D

2020년 4월 28일

Good course for learning Computer vision

교육 기관: Rajat G

2020년 4월 18일

It was great learning experience for me.

교육 기관: Hamora H

2020년 7월 3일

This's the best course for me

Thanks! :)

교육 기관: Subha p C

2020년 7월 2일

session was more informative and useful

교육 기관: Muhammad N

2020년 5월 15일

I have learn many tools in this course

교육 기관: Dicky P

2020년 7월 12일

very much useful. thank you very much

교육 기관: Alptug P

2020년 7월 3일

Nice course for an advanced learner!

교육 기관: Dr. K T

2020년 6월 13일

Problems can be defined more clearly

교육 기관: Waliu M

2020년 8월 13일

Detailed and simplified course....

교육 기관: Rushikesh T

2020년 6월 5일

Very good course from courseera

교육 기관: R.M V

2020년 4월 27일

Excellent Course For Beginners.

교육 기관: Patrick F

2020년 6월 22일

Interesting and great course!!

교육 기관: Ansh B

2020년 6월 14일

Very In-Depth and informative.

교육 기관: Suraj B

2020년 5월 24일

Best for basic Computer Vision

교육 기관: Michael B

2020년 4월 22일

very interesting & challenging

교육 기관: Mohamed A G

2020년 12월 4일

I can speak to my camera! wow

교육 기관: RAJA A

2020년 7월 12일

Very Knowlege Increase a Home

교육 기관: Ritashree R

2020년 7월 2일

Very good and helpfull cource

교육 기관: Shah W K

2020년 6월 24일

Excellent, very much helpful

교육 기관: Somesh K

2020년 5월 29일

It was fun doing the course.

교육 기관: Suyash g

2020년 5월 28일

explanation was nice an good

교육 기관: Hasitha N

2020년 11월 21일

good introduction was done.