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
This course is part of First Principles of Computer Vision Specialization
Instructor: Shree Nayar
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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
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There are 6 modules in this course
What's included
7 readings2 discussion prompts8 plugins
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2 readings6 assignments2 discussion prompts6 plugins
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2 readings5 assignments2 discussion prompts5 plugins
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1 reading5 assignments2 discussion prompts5 plugins
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What's included
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