Columbia University
3D Reconstruction - Multiple Viewpoints
Columbia University

3D Reconstruction - Multiple Viewpoints

This course is part of First Principles of Computer Vision Specialization

Taught in English

Some content may not be translated

Shree Nayar

Instructor: Shree Nayar

3,372 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.7

(30 reviews)

Beginner level

Recommended experience

8 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Develop a comprehensive model of a camera and learn how to calibrate a camera by estimating its parameters.

  • Develop a simple stereo system that uses two cameras of known configuration to estimate the 3D structure of a scene.

  • Design an algorithm for recovering both the structure of the scene and the motion of the camera from a video.

  • Develop optical flow algorithms for estimating the motion of points in a video sequence.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(30 reviews)

Beginner level

Recommended experience

8 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the First Principles of Computer Vision Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 5 modules in this course

What's included

7 readings2 discussion prompts8 plugins

What's included

1 quiz2 discussion prompts5 plugins

What's included

1 reading1 quiz2 discussion prompts7 plugins

What's included

1 quiz1 discussion prompt6 plugins

What's included

3 readings1 quiz2 discussion prompts6 plugins

Instructor

Instructor ratings
4.9 (12 ratings)
Shree Nayar
Columbia University
5 Courses15,096 learners

Offered by

Recommended if you're interested in Algorithms

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 30

4.7

30 reviews

  • 5 stars

    86.66%

  • 4 stars

    6.66%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

    6.66%

AU
5

Reviewed on Apr 4, 2022

KJ
5

Reviewed on Apr 27, 2022

New to Algorithms? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions