Features and Boundaries
Columbia University
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 â 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. We begin with the de
About this Course
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 â 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. We begin with the de
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.
Instructors
Shree Nayar
Computer Science