This course focuses on the detection of features and boundaries in images. Feature and boundary detection is a critical preprocessing step for a variety of vision tasks including object detection, object recognition and metrology – the measurement of the physical dimensions and other properties of objects. The course presents a variety of methods for detecting features and boundaries and shows how features extracted from an image can be used to solve important vision tasks.
Features and Boundaries
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Features and Boundaries
This course is part of First Principles of Computer Vision Specialization
Instructor: Shree Nayar
4,286 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.8
(43 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.
Skills you'll gain
Details to know
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Assessments
29 assignments
Taught in English
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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 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)Offered by
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