Columbia University

Features and Boundaries

This course is part of First Principles of Computer Vision Specialization

Taught in English

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Shree Nayar

Instructor: Shree Nayar

3,786 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.8

(34 reviews)

Beginner level

Recommended experience

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

What you'll learn

  • Learn how to detect edges and corners in images.

  • Develop active contours (snakes) to find complex object boundaries.

  • Learn about the Hough Transform for finding simple parametric shapes in images.

  • Learn about image transformations and how to estimate the homography between two images.

Details to know

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Assessments

29 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(34 reviews)

Beginner level

Recommended experience

23 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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There are 6 modules in this course

What's included

7 readings2 discussion prompts8 plugins

What's included

2 readings6 quizzes2 discussion prompts6 plugins

What's included

1 reading5 quizzes2 discussion prompts5 plugins

What's included

1 reading5 quizzes2 discussion prompts5 plugins

What's included

6 quizzes1 discussion prompt6 plugins

What's included

1 reading7 quizzes2 discussion prompts7 plugins

Instructor

Instructor ratings
5.0 (8 ratings)
Shree Nayar
Columbia University
5 Courses15,096 learners

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Recommended if you're interested in Algorithms

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4.8

34 reviews

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KJ
5

Reviewed on Apr 27, 2022

GS
5

Reviewed on Dec 13, 2021

GP
5

Reviewed on Dec 20, 2023

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