About this Course

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Shareable Certificate
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Beginner Level

Learners should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.

Approx. 10 hours to complete
English

What you will learn

  • Design algorithms for detecting meaningful changes in a scene

  • Develop methods for tracking objects in a video while the object undergoes changes in pose and illumination

  • Learn several approaches to segmenting an image into meaningful regions

  • Create an end-to-end pipeline for learning and recognizing objects based on their visual appearance

Skills you will gain

Image SegmentationArtificial Neural Networkapperance matchingTrackingComputer Vision
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

Learners should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.

Approx. 10 hours to complete
English

Offered by

Placeholder

Columbia University

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Getting Started: Visual Perception

2 hours to complete
7 readings
Week
2

Week 2

2 hours to complete

Object Tracking

2 hours to complete
Week
3

Week 3

1 hour to complete

Image Segmentation

1 hour to complete
Week
4

Week 4

2 hours to complete

Appearance Matching

2 hours to complete

About the First Principles of Computer Vision Specialization

First Principles of Computer Vision

Frequently Asked Questions

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