Acerca de este Curso
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100 % en línea

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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. 12 horas para completar

Sugerido: 4 weeks of study, 4-5 hours per week...

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

  • Check

    Develop 3D vision applications using a stereo imaging system

  • Check

    Understand epipolar geometry

  • Check

    Understand motion perception, motion field and optical flow

  • Check

    Discuss the techniques used to obtain the 3D structure of objects

Habilidades que obtendrás

Computer ProgrammingStereopsisMatlab3D Vision

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. 12 horas para completar

Sugerido: 4 weeks of study, 4-5 hours per week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
7 horas para completar

Stereo Vision

In this module, we will discuss the fundamentals and applications of stereo vision and multiple camera systems.

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5 videos (Total 20 minutos), 2 readings, 10 quizzes
5 videos
Stereo Vision Fundamentals5m
Epipolar Geometry2m
Fundamental & Essential Matrices1m
Multiple View Geometry1m
2 lecturas
Resources (Optional): Stereo Vision30m
REQUIRED- MATLAB Resources10m
5 ejercicios de práctica
Stereo Vision Fundamentals12m
Epipolar Geometry2m
Fundamental & Essential Matrices6m
Multiple View Geometry2m
Stereo Vision30m
Semana
2
1 hora para completar

Dense Motion & SFM

In this module, we will discuss motion perception, optical flow, applications of dense motion, and structure from motion.

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4 videos (Total 5 minutos), 1 reading, 1 quiz
4 videos
Optical Flow1m
Dense Motion Applications13s
Structure from Motion (SFM)1m
1 lectura
Resources (Optional): Dense Motion & SFM30m
1 ejercicio de práctica
Optical Flow2m
Semana
3
1 hora para completar

Visual Tracking

This module provides information about visual tracking, including: object tracking, motion models, inferences used in tracking, and multi-object tracking.

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5 videos (Total 8 minutos), 1 reading, 1 quiz
5 videos
Motion Models & Tracking42s
Tracking as Inference1m
Multi-Object Tracking2m
Is Multi-Object Tracking Difficult?1m
1 lectura
Resources (Optional): Visual Tracking30m
1 ejercicio de práctica
Tracking as Inference2m
Semana
4
2 horas para completar

3D Vision

This module discusses the active methods used to develop 3D vision, as well as the applications of 3D vision.

...
6 videos (Total 14 minutos), 2 readings, 1 quiz
6 videos
Why is 3D Vision Important?33s
Shape from X1m
Depth from Active Sensing56s
Model-Based Reconstruction38s
Visual Odometry & SLAM3m
2 lecturas
Resources (Optional): 3D Vision30m
Stereo Vision, Dense Motion & Tracking - Key Takeaways10m

Instructores

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

Associate Professor and Director of Visual Computing Lab
Computer Science and Engineering

Acerca de 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....

Acerca de 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....

Acerca del programa especializado Visión artificial

This specialization provides a foundation in the rapidly expanding research field of computer vision, laying the groundwork necessary for designing sophisticated vision applications. Learners explore the integral elements that enable vision applications, ranging from editing images to reading traffic signs in self-driving cars to factory robots navigating around human co-workers. Content includes image processing and state-of-the-art vision techniques, augmented by insights from top leaders in the computer vision field. Learners gain hands-on experience writing computer vision programs through online labs using MATLAB and supporting toolboxes. The specialization is taught in MATLAB* using computer vision and supporting toolboxes. 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). To learn more, 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....
Visión artificial

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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