Acerca de este Curso

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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

Aprox. 10 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

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
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

Aprox. 10 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

ofrecido por

Logotipo de University at Buffalo

University at Buffalo

Logotipo de Universidad Estatal de Nueva York

Universidad Estatal de Nueva York

Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up96%(4,342 calificaciones)Info
Semana
1

Semana 1

3 horas para completar

Computer Vision Overview

3 horas para completar
13 videos (Total 42 minutos), 2 lecturas, 4 cuestionarios
13 videos
Meet Jungsong Yuan, Ph.D.24s
What is Computer Vision?6m
Why Computer Vision?40s
Related Fields of Computer Vision4m
Relevant Fields56s
Computer Programming & Computer Vision1m
Computer Vision Awareness1m
Timelines & Milestones8m
Computer Vision Progression1m
Computer Vision Applications8m
CV Applications4m
CV Impact in the Field of Augmented Reality1m
2 lecturas
Resources (Optional): Computer Vision Overview30m
REQUIRED - MATLAB Resources10m
3 ejercicios de práctica
What is Computer Vision?2m
Related Fields of Computer Vision2m
MATLAB Basics5m
Semana
2

Semana 2

3 horas para completar

Color, Light, & Image Formation

3 horas para completar
4 videos (Total 32 minutos), 1 lectura, 5 cuestionarios
4 videos
Pinhole Camera Model9m
Digital Camera5m
Color Theory8m
1 lecturas
Resources (Optional): Color, Light, & Image Formation30m
3 ejercicios de práctica
Light Sources4m
Pinhole Camera Model2m
Digital Camera2m
Semana
3

Semana 3

2 horas para completar

Low-, Mid- & High-Level Vision

2 horas para completar
5 videos (Total 32 minutos), 1 lectura, 3 cuestionarios
5 videos
Low-, Mid-, High-Level Vision1m
Low-Level Vision8m
Mid-Level Vision7m
High-Level Vision6m
1 lecturas
Resources (Optional): Low-, Mid- and High-Level Vision30m
2 ejercicios de práctica
Three-Level Paradigm2m
Low-Level Vision2m
Semana
4

Semana 4

2 horas para completar

Mathematics for Computer Vision

2 horas para completar
8 videos (Total 10 minutos), 2 lecturas, 2 cuestionarios
8 videos
Mathematical Preliminaries27s
Linear Algebra1m
Calculus45s
Probability Theory35s
Algorithms38s
Using Algorithms1m
Aligning RGB channels2m
2 lecturas
Resources (Optional): Mathematics for Computer Vision30m
Computer Vision Basics - Key Takeaways10m
1 ejercicios de práctica
Algorithms2m

Revisiones

Principales revisiones sobre COMPUTER VISION BASICS

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  • Learners should have basic programming skills and experience (understanding of for loops, if/else statements). 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), basic probability (random variables), and 3D co-ordinate systems & transformations.

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