Columbia University
3D Reconstruction - Multiple Viewpoints
Columbia University

3D Reconstruction - Multiple Viewpoints

Shree Nayar

Instructor: Shree Nayar

4,024 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.7

(40 reviews)

Beginner level

Recommended experience

72 hours to complete
3 weeks at 24 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

(40 reviews)

Beginner level

Recommended experience

72 hours to complete
3 weeks at 24 hours a week
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

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Assessments

25 assignments

Taught in English

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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.
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There are 5 modules in this course

What's included

7 readings2 discussion prompts8 plugins

What's included

1 reading6 assignments2 discussion prompts5 plugins

What's included

2 readings7 assignments2 discussion prompts7 plugins

What's included

1 reading6 assignments1 discussion prompt6 plugins

What's included

3 readings6 assignments2 discussion prompts6 plugins

Instructor

Instructor ratings
4.9 (12 ratings)
Shree Nayar
Columbia University
5 Courses18,013 learners

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4.7

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5

Reviewed on Apr 4, 2022

KJ
5

Reviewed on Apr 27, 2022

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