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.
ofrecido por
University at Buffalo
Universidad Estatal de Nueva York
Computer Vision Basics
University at BuffaloAcerca de este Curso
40.860 vistas recientes
Resultados profesionales del estudiante
27%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
17%
consiguió un aumento de sueldo o ascenso
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations
Aprox. 13 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Qué aprenderás
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
Habilidades que obtendrás
Computer VisionComputer ProgrammingMatlab
Resultados profesionales del estudiante
27%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
17%
consiguió un aumento de sueldo o ascenso
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations
Aprox. 13 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
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.
Universidad Estatal de Nueva 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.
Programa - Qué aprenderás en este curso
4 horas para completar
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.
4 horas para completar
13 videos (Total 42 minutos), 2 lecturas, 4 cuestionarios
5 horas para completar
Color, Light, & Image Formation
In this module, we will discuss color, light sources, pinhole and digital cameras, and image formation.
5 horas para completar
4 videos (Total 32 minutos), 1 lectura, 5 cuestionarios
3 horas para completar
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.
3 horas para completar
5 videos (Total 32 minutos), 1 lectura, 3 cuestionarios
2 horas para completar
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.
2 horas para completar
8 videos (Total 10 minutos), 2 lecturas, 2 cuestionarios
Reseñas
Principales reseñas sobre COMPUTER VISION BASICS
por HK13 de ago. de 2020
i really liked the course, but i wish that they would also help learn the programming in MATLAB a little, needs one extra week for the programming. Had to use external tools to learn the programming.
por LM10 de ago. de 2019
It is a good introduction course but I think some more demo coding for matlab in the first assignments will be a good thing so we don´t have to spend a lot of time on google and on trial and error.
por PS12 de oct. de 2019
Course was great ! And explained well but Matlab was not explained well. It's hard to complete week-4 assignment if you are not good at Matlab. Please provide python language for solving problems.
por PW22 de may. de 2020
The course is fine, but it's too fundamental. Overall, it is more suit to personal who already had the fundamental in image processing knowledge. Else the course is a but higher level for others.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
Is financial aid available?
Are there any prerequisites?
¿Recibiré crédito universitario por completar el Curso?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
