E1 216 : Computer Vision

LECTURE 05: ROBUSTNESS

2024

In this lecture we shall consider robustness issues in computer vision. In particular we shall consider the RANSAC method and M-estimation using IRLS.

• Slides on Robustness

Notes:

• Required Reading: Section 8.1.4 of Szeliski's book (Second Edition)
• Required Reading : Section 10.4 of Forsyth and Ponce (Second Edition)
• Suggested Reading: "Robust Techniques for Computer Vision"
There are many recent papers on using deep learning in various ways to achieve robustness.

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