E1 216: Computer Vision
LECTURE 06: IMAGE FEATURES (CORNERS)
2024
In this lecture we will look at the detection, localisation and description of corner-like image feature. Specifically we will look at the Harris corner and SIFT.
Slides for Lecture 06
Very good slides for Harris Corner Detector
Originally taken from http://www.multimedia-computing.de/mediawiki//images/b/ba/SS08_VSP_Slides03.pdf
Slides for the SIFT detector are available here
Originally taken from http://www.cse.huji.ac.il/course/2006/compvis/lectures/SIFT.ppt
Reading Assignment :
- Sections 7.1.1 and 7.1.2 of Szeliski's book (2nd Edition draft).
- Chapter 8 on Edge Detection in Forsyth and Ponce book
- Distinctive image features from scale-invariant keypoints
- Sections 7.1.3 and 7.1.4 of Szeliski's book (2nd edition draft). These sections will not be covered in class in any significant detail but are important to understand how to build efficient matching schemes and the state-of-the-art on features.
- We have not discussed HOG features in class, but it is fairly easy to understand the underlying approach.
Original paper by Dalal and Triggs.
Notes by Carlo Tomasi are available here.