In this thesis, we study two problems based on clustering algorithms. In the first problem, we study the role of visual attributes using an agglomerative clustering algorithm to whittle down the search area where the number of classes is high to improve the performance of clustering. We observe that as we add more attributes, the clustering perf…

Step 1 : Register your Face : A. Take a video of few seconds of your face. B. Create samples of images from Video to train Convolutional Neural Network. C. Train the model with those images (class = 'YES') and some images that is not your face (class = 'NO') D. Convert the model output (.h5) into .mlmodel E. import it into your Xcode for Product…

中科院软件所XLab的机器人UI交互模块

It is an Face Identification based automatic attendance management system which will be useful taking attendance during online lecture.

A basic security program for identifying personnel using Processing i3 on a raspberry pi 3

Identify unknown persons that are not registered and stores their images with current date and time.

Face identification with cnn+triplet-loss written by Keras.

Facial Keypoint Detection and Real-time Filtering

Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly

A collection of face related papers

얼굴 인식에 대한 기술 동향 및 관련 모델 자료

The purpose of this Android app is to use Kairos's SDK for Android in order to implement facial recognition. Features of this app include: registering users with an image and name and identifying users when given an image.

FRI (Face Recognition and Identification)

Machine Learning model which uses kNN Algorithm & Computer Vision to recognise different faces

Real time face Identification using opencv on python (Python'da opencv kullanarak gerçek zamanlı yüz tanıma )

Real time face Identification using opencv on python (Opencv kullanarak Python da gerçek zamanlı yüz tanıma (kimlik tespiti ) uygulaması)

Signin with your face working as the security system.

Face recognition, tackling three different "old-school" Computer Vision techniques - as part of the Biometrics System Concepts course @ KU Leuven