Fast semi-supervised face recognition model using graph theory and fast computer vision methods.
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Updated
Oct 3, 2023 - Python
Fast semi-supervised face recognition model using graph theory and fast computer vision methods.
Image processing project
Eyeball detection project in MATLAB
🎯 Object classification and localization -> object detection
contains all the data required for eigen-face project
A computer vision tool that protects children's video identities during online video conferencing with anonymizing snapchat-like filters and face recognition tracking. It's a different kind of mask, a fun one! 🐢
Mon projet de TIPE pour l'année 2023, visant la création d'un algorithme de détection d'objets dans une image.
This is an implementation of a custom-trained face detection classifier using the Viola Jones Algorithm cascaded with an Eigen Face recognition system based on Principal Component Analysis.
Smart Glasses for Visually ImpairedA project aimed for people with weak eyesight to help them recognize persons and detect objects around them using machine learning and deep learning algorithms.
this repo contains implementation of Viola-Jones face detection algorithm using python
Desktop application incorporating face detection using Viola-Jones classical technique as well as face recognition using PCA analysis.
Face recognition system implemented using a Raspberry Pi, SQLite and OpenCV.
Using HAAR Cascades for face detection
Face, Eyes, and Smile Detection with OpenCV
Images have to be entered in the database using Image Data Collection Program
From google: The Viola-Jones algorithm is a widely used mechanism for object detection. The main property of this algorithm is that training is slow, but detection is fast. ... Then the detection window is moved across the image as follows: Set the minimum window size, and sliding step corresponding to that size.
Automatic Face detection and cropping of images using Viola Jones Algorithm from folder to folder.
Development of the prototype of detection, recognition and facial training for my work of graduation in Computer Science at Veiga de Almeida University.
Course "Machine learning" in Python
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