Columbia University

Camera and Imaging

Shree Nayar

Instructor: Shree Nayar

13,057 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(123 reviews)

Beginner level

Recommended experience

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

What you'll learn

  • Learn how a camera works and how an image is formed using a lens

  • Understand how an image sensor works and its key characteristics

  • Design cameras that capture high dynamic range and wide angle images

  • Learn to create binary images and use them to build a simple object recognition system

Details to know

Earn a career certificate

Add to your LinkedIn profile

Assessments

30 quizzes

Taught in English

Course

Gain insight into a topic and learn the fundamentals

4.7

(123 reviews)

Beginner level

Recommended experience

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

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

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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.
  • 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
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Earn a career certificate

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Share it on social media and in your performance review

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There are 6 modules in this course

What's included

8 readings2 discussion prompts8 plugins

What's included

1 reading6 quizzes2 discussion prompts7 plugins

What's included

2 readings7 quizzes2 discussion prompts7 plugins

What's included

1 reading5 quizzes2 discussion prompts4 plugins

What's included

1 reading6 quizzes2 discussion prompts6 plugins

What's included

4 readings6 quizzes1 discussion prompt7 plugins

Instructor

Instructor ratings
4.8 (33 ratings)
Shree Nayar
Columbia University
5 Courses16,352 learners

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Recommended if you're interested in Algorithms

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Learner reviews

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4.7

123 reviews

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    15.44%

  • 3 stars

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  • 1 star

    3.25%

GS
5

Reviewed on Nov 1, 2021

DA
5

Reviewed on Oct 6, 2022

QN
4

Reviewed on Dec 15, 2022

New to Algorithms? Start here.

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