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Computer Vision Basics, Университет штата Нью-Йорк в Баффало

(оценок: 10)

Об этом 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: 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. This is the first course in the Computer Vision specialization that lays the groundwork necessary for designing sophisticated vision applications. To learn more about the specialization, check out a video overview at * A free license to install MATLAB for the duration of the course is available from MathWorks....

Лучшие рецензии

автор: AA

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.

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Рецензии: 5

автор: Satyanarayan Pande

May 19, 2019

Very simple and basic

автор: Andriy Palamarchuk

May 09, 2019

I would like it to be more dense on content. It gives overview of many areas without diving into details. The labs feel somewhat disjointed from the rest of the course.

автор: Aayush Adhikari

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: Kevin Ch'ng

May 02, 2019

Great Course

автор: Dhritiman Sagar

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.