Columbia University

Features and Boundaries

Shree Nayar

Instructor: Shree Nayar

4,310 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.8

(44 reviews)

Beginner level

Recommended experience

24 hours to complete
3 weeks at 8 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.8

(44 reviews)

Beginner level

Recommended experience

24 hours to complete
3 weeks at 8 hours a week
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 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
  • 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 assignments2 discussion prompts6 plugins

What's included

2 readings5 assignments2 discussion prompts5 plugins

What's included

1 reading5 assignments2 discussion prompts5 plugins

What's included

6 assignments1 discussion prompt6 plugins

What's included

2 readings7 assignments2 discussion prompts7 plugins

Instructor

Instructor ratings
5.0 (11 ratings)
Shree Nayar
Columbia University
5 Courses17,947 learners

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Recommended if you're interested in Algorithms

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Learner reviews

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4.8

44 reviews

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    11.36%

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    2.27%

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TF
5

Reviewed on Jan 20, 2023

KJ
5

Reviewed on Apr 27, 2022

GS
5

Reviewed on Dec 13, 2021

New to Algorithms? Start here.

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