Columbia University
3D Reconstruction - Single Viewpoint
Columbia University

3D Reconstruction - Single Viewpoint

Shree Nayar

Instructor: Shree Nayar

4,452 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.9

(36 reviews)

Beginner level

Recommended experience

89 hours to complete
3 weeks at 29 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.9

(36 reviews)

Beginner level

Recommended experience

89 hours to complete
3 weeks at 29 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn radiometric concepts related to light and how it interacts with scenes.

  • Understand reflectance models and the different physical mechanisms that determine the appearance of a surface.

  • Develop a method for recovering the shape of a surface from its shading.

  • Understand the principle of photometric stereo where a dense surface normal map of the scene is obtained by varying the illumination direction.

Details to know

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Assessments

31 assignments

Taught in English

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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.
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  • Gain a foundational understanding of a subject or tool
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  • Earn a shareable career certificate
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There are 6 modules in this course

What's included

7 readings2 discussion prompts8 plugins

What's included

7 assignments2 discussion prompts7 plugins

What's included

7 assignments2 discussion prompts7 plugins

What's included

6 assignments2 discussion prompts5 plugins

What's included

5 assignments2 discussion prompts4 plugins

What's included

1 reading6 assignments2 discussion prompts7 plugins

Instructor

Instructor ratings
5.0 (8 ratings)
Shree Nayar
Columbia University
5 Courses18,013 learners

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4.9

36 reviews

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Reviewed on Sep 9, 2023

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Reviewed on Apr 27, 2022

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Reviewed on Jan 30, 2022

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