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.
von

Computer Vision Basics
University at BuffaloÜber diesen Kurs
Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations
Was Sie lernen werden
Understand what computer vision is and its goals
Identify some of the key application areas of computer vision
Understand the digital imaging process
Apply mathematical techniques to complete computer vision tasks
Kompetenzen, die Sie erwerben
- Computer Vision
- Computer Programming
- Matlab
Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations
von

University at Buffalo
The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs.

The State University of New York
The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.
Lehrplan - Was Sie in diesem Kurs lernen werden
Computer Vision Overview
In this module, we will discuss what computer vision is, the fields related to it, the history and key milestones of it, and some of its applications.
Color, Light, & Image Formation
In this module, we will discuss color, light sources, pinhole and digital cameras, and image formation.
Low-, Mid- & High-Level Vision
In this module, we will discuss the three-level paradigm of computer vision that was proposed by David Marr. We will also discuss low, mid, and high level vision.
Mathematics for Computer Vision
In this lecture, we will discuss the Mathematics used in Computer Vision, which includes linear algebra, calculus, probability, and much more.
Bewertungen
- 5 stars55,17 %
- 4 stars24,24 %
- 3 stars10,57 %
- 2 stars4,28 %
- 1 star5,71 %
Top-Bewertungen von COMPUTER VISION BASICS
Nice Course. I'm very hard to study and practice to passed the assignment. And that could give the experience on matlab including Image Processing skills. Thank a lot!
The content of the course helped me get the basics of computer vision. I am looking forward to learning more. the most interesting part were solving the Matlab assignments
Overall great, howeve the last assignment needed more help/background from the instructors than provided. I pass 96% of the class but still was not able to get the certificate.
The course gives good intuition about CV but the problem is that the MATLAB exercises don't have enough tutorials which takes more effort to solve them
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich das Zertifikat erwerbe?
Ist finanzielle Unterstützung möglich?
Are there any prerequisites?
Haben Sie weitere Fragen? Besuchen Sie das Learner Help Center.