Columbia University

Visual Perception

Shree Nayar

Instructor: Shree Nayar

3,306 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.6

(30 reviews)

Beginner level

Recommended experience

82 hours to complete
3 weeks at 27 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.6

(30 reviews)

Beginner level

Recommended experience

82 hours to complete
3 weeks at 27 hours a week
Flexible schedule
Learn at your own pace

What you'll 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

Details to know

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Assessments

28 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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There are 5 modules in this course

What's included

7 readings8 plugins

What's included

1 reading5 assignments1 discussion prompt5 plugins

What's included

6 assignments6 plugins

What's included

2 readings8 assignments1 discussion prompt8 plugins

What's included

1 reading9 assignments1 peer review1 discussion prompt10 plugins

Instructor

Shree Nayar
Columbia University
5 Courses17,947 learners

Offered by

Recommended if you're interested in Algorithms

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4.6

30 reviews

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KJ
5

Reviewed on Apr 27, 2022

New to Algorithms? Start here.

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