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In this repo, I demonstrate how simple Linear Algebra concepts can be utilized for powerful image element detection applications

Jupyter Notebook 100.00%
pca image-classification image-recognition linear-algebra eigenvectors laplacian-eigenmaps spectral-embedding

face-ml's Introduction

FaceML

In this repo, I demonstrate how simple Linear Algebra concepts can be utilized for powerful image element detection applications

Data

I use the Olivetti faces data-set from AT&T, downloaded using the sklearn package

Methods

In the notebook above, I use eigenvectors and dot products to detect and classify facial features. Specifically, I demonstrate how to detect eyeglass wearers and cluster faces by similar facial features such as the presence of a smile or facial hair.

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