Ementorhub

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

Machine Learning

Image Analysis

Algorithms

Machine Learning Algorithms

Computer Vision

Computer Graphics

There are 6 modules in this course

We begin with the detection of simple but important features such as edges and corners. We show that such features can be reliably detected using operators that are based on the first and second derivatives of images. Next, we explore the concept of an “interest point” – a unique and hence useful local appearance in an image. We describe how interest points can be robustly detected using the SIFT detector. Using this detector, we describe an end-to-end solution to the problem of stitching overlapping images of a scene to obtain a wide-angle panorama. Finally, we describe the important problem of finding faces in images and show several applications of face detection.

Edge Detection

Boundary Detection

SIFT Detector

Image Stitching

Face Detection