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.
This course is part of the First Principles of Computer Vision Specialization
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About this Course
Students should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will 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 will gain
- Scale Space
- Active Contours
- Image Transformations
- Edge and Corner Detection
- SIFT Detector
Students should know the fundamentals of linear algebra and calculus. The knowledge of any programming language is beneficial, though not required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Getting Started: Features and Boundaries
Edge Detection
Boundary Detection
SIFT Detector
Reviews
- 5 stars90%
- 4 stars10%
TOP REVIEWS FROM FEATURES AND BOUNDARIES
Another excellent course on first principles of comuter vision.
Amazing course , Well explained and interesting assignments!!!
A little bit advanced, but the quality of the slides and presentations is superb.
About the First Principles of Computer Vision Specialization

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