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Вернуться к Image Processing, Features & Segmentation

Отзывы учащихся о курсе Image Processing, Features & Segmentation от партнера Университет штата Нью-Йорк в Баффало

О курсе

This course empowers learners to develop image processing programs and leverage MATLAB functionalities to implement sophisticated image applications. It provides a rich explanation of the fundamentals of computer vision’s lower- and mid-level tasks by examining several principle approaches and their historical roots. By the end of the course, learners are prepared to analyze images in frequency domain. Topics include image filters, image features and matching, and image segmentation. 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. This is the second 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 https://youtu.be/OfxVUSCPXd0. * A free license to install MATLAB for the duration of the course is available from MathWorks....
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1–5 из 5 отзывов о курсе Image Processing, Features & Segmentation

автор: Mun T Y

Jul 06, 2019

Overall is a very steep learning curve, mostly on discussion among students to figure out the solutions of the assignments. Not much example in the lecture videos.

автор: Steve S

Jul 03, 2019

The course is missing a lot of slides that are referenced in the lectures.

автор: Kush S

Jun 19, 2019

I have not completed the course yet but the lectures are incomplete. It's really difficult to understand the missing parts of the lectures. Please look in to the ambiguity. Thank you.

автор: Namit K S

Jun 14, 2019

Lectures are incomplete, exercises are not well written. Staff is not helpful. Don't go with Computer Vision Specialization By University of Buffalo it is complete waste of time and money.

автор: Sai A R

May 31, 2019

Very Bad