This is a project made for the computer vision course HO205 at KU Leuven.

A facial recognition system for matching a human face from a digital image or a video frame against a database of faces.

Conway's game of life that you can start with the pixelated pic of your face

Three-dimensional face tracking (OpenGL)

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Learn how to train your own OpenCV Haar classifier

ZQlib

Ability to Register a face and Login using Facial Recognition (Web camera)

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

to learn how to make use of "OpenCV packages for Python"

Progressive Growing of GANs for Improved Quality, Stability, and Variation

FaceRecognitionDemo

Face Recognition Using PCA and LDA

手势识别

Fabric face mask pattern with nose wire and pocket

RT face and smile detection written in Python using OpenCV library.

Human face identification has been a testing issue in the regions of picture preparing and patter acknowledgment. Another human face location calculation by crude Haar course calculation joined with the refreshed changes are to be examined.First, pictures of individuals are handled by a crude Haar course classifier, almost without wrong human fa…

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

Face Recognition with Deep Learning

Mood-Analxyzer using Face and textual sentiments. Technologies used - AWS and AI-ML