IS&T Research Computing Boot Camp - Image Processing and Analysis: Unlocking the power of the Singular Value Decomposition

Prerequisites: No prior MATLAB experience is assumed (although it will be helpful). You should be comfortable with calculus. Prior knowledge of Linear Algebra is helpful, but not required. Description: In this Boot Camp we will explore the power of the Singular Value Decomposition (SVD) and how it is a very useful tool in Image Processing and Analysis. We will first explore the ideas underpinning the SVD and how it decomposes data into singular values and eigenvectors. We will then apply this knowledge to examine how it can be used for image compression, component analysis, facial recognition/classification with clustering, and feature detection. Throughout the Boot Camp attendees will work in small groups applying all these principles/techniques firsthand. In the last section of the Boot Camp each group will come up with a small project that applies the techniques learned in a novel way.