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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

Georgia Tech offers the Introduction to Computer Vision programme in association with Udacity. It is a free course that you can join anytime, from anywhere. All the study materials are self-paced so that you can study them at your convenience.

There are ten broad lessons in the Introduction to Computer Vision course syllabus, and each has some 3-4 sub-lessons. Over the course length, you will be introduced to computer vision and its related components.

With the Introduction to Computer Vision programme by Udacity, you will master the basics of image formation, feature detection and matching, and camera imaging geometry. Besides this, the course will also cover Multiview geometry, including motion estimation, tracking, stereo, and classification.

Finally, the Introduction to Computer Vision course will help you develop fundamental methods of applications. The programme's focus is mainly on developing your intuitions and Mathematics of the methods through video lectures by experts, regular exercises, and interactive lessons.

The Highlights

  • Interactive quizzes for practice
  • Taught by industry experts
  • Free enrolment
  • Rich learning content
  • Self-paced learning 
  • Intermediate-level programme 
  • 4 months completion time 
  • Offered by Georgia Tech 
  • Instructor videos
  • Regular exercises

Programme Offerings

  • free course
  • Taught By Industry Experts
  • Self-paced
  • Rich learning content
  • Regular exercises
  • Instructor videos

Courses and Certificate Fees

Certificate Availability
no

All you need to do is complete a small sign-up form to apply for the Introduction to Computer Vision online course. Mention your first name and last name in the form. Then, enter your active email address and choose a strong password. After that, click on "Sign Up". 

Fee details

Introduction to Computer Vision fee structure

Course

Fees

Introduction to Computer Vision

FREE


Eligibility Criteria

You should have a solid foundation in data structures and mathematics to join the Introduction to Computer Vision programme. Also, a sound working knowledge of Python or/and Matlab with NumPy. While not essential, any prior experience with Signal Processing will prove beneficial.

What you will learn

Software managementKnowledge of photography

The Introduction to Computer Vision online course by Udacity will teach you the following:

  • Insights into the basics of image formation & analysis
  • Ability to extract any information over and above the pixel level
  • Image stabilisation, camera calibration, action recognition, and automated alignment
  • How to operate on images where you need to combine/organise multiple scenarios
  • Camera image geometry
  • Basic methods used for application 
  • Perform low-to-mid level Algorithms for image analysis and extracting structural information

Who it is for

The Introduction to Computer Vision programme will prove immensely beneficial for individuals who want to learn how to operate on images in a context-aware manner. Or in situations where images from different scenarios are to be organised/combined appropriately.


Admission Details

  • Find the Introduction to Computer Vision course details using the link here: https://www.udacity.com/course/introduction-to-computer-vision--ud810.
  • Select the "Start Free Course" option to access the sign-up form. 
  • Either fill out the form as requested to sign-up. Else, link your Facebook or Google profiles to create your account on Udacity. 
  • Once your account is activated, you can commence learning the Introduction to Computer Vision programme.

Application Details

All you need to do is complete a small sign-up form to apply for the Introduction to Computer Vision online course. Mention your first name and last name in the form. Then, enter your active email address and choose a strong password. After that, click on "Sign Up".

The Syllabus

  • Introduction

  • Model fitting
  • Linear image processing
  • Frequency domain analysis

  • Camera calibration
  • Stereo geometry
  • Camera models
  • Multiple views

  • Feature descriptors
  • Feature detection
  • Model fitting

  • Lightness
  • Photometry
  • Shape from shading

  • Optical flow
  • Overview

  • Introduction to tracking
  • Non-parametric models
  • Parametric models
  • Tracking considerations

  • Introduction to recognition
  • Classification - Discriminative models
  • Classification - Generative models
  • Action recognition

  • Binary morphology
  • Colour spaces & segmentation
  • 3D perception

  • Vision in the brain
  • The retina

Instructors

Georgia Tech Frequently Asked Questions (FAQ's)

1: Will I get a certificate after course completion?

No, this course doesn't come with a certificate. However, if you join a related nano degree programme, you can earn a nanodegree certificate from Udacity.

2: Does Udacity offer career services with the Introduction to Computer Vision programme?

Since it is a free course, you cannot access Udacity's career services.

3: What is the skill level of the Introduction to Computer Vision course?

This programme is categorised as intermediate.

4: How much does the course cost?

The Introduction to Computer Vision training can be accessed for free. All you need to do is register yourself by creating an account.

5: How soon can I finish the Introduction to Computer Vision course?

This is an entirely self-paced programme, so you can complete it at your convenience. However, ideally, it should take you approximately six months to finish it.

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