Testing face recognition power of different algorithms on ORL database.
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Updated
Jul 1, 2024 - Python
Testing face recognition power of different algorithms on ORL database.
Faces recognition project using Support Vector Machines (SVM) and Principal Component Analysis (PCA). It utilizes the Labeled Faces in the Wild (LFW) dataset, employs dimensionality reduction with PCA, and fine‑tunes SVM hyperparameters using RandomizedSearchCV.
Face Recognition using method of Eigenfaces
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This repository contains a collection of computer vision projects using OpenCV, DLib, and Mediapipe. It includes implementations of facial detection, facial classification, facial landmark detection, and hand tracking.
In this project, the focus is on image compression using Singular Value Decomposition (SVD), specifically following the principles of the well-known "Eigenfaces" experiment.
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