Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified(3D Face Anti-Spoofing) on Android

基于人脸关键区域提取的人脸识别（LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+）

This repository contains a C++ application that demonstrates face recognition, 3D face liveness detection (anti-spoofing) capabilities using computer vision techniques. The SDK utilizes OpenCV and dlib libraries for efficient face detection and recognition.

Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion,…

NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Liveness Detection (3D Face Passive Anti-Spoofing) Engine!

Age + Gender Estimation on Android with TensorFlow Lite

Check the likelihood that two faces belong to the same person. You will get a confidence score and thresholds to evaluate the similarity. Play with our Top Ranked Face Recognition & 3D Face Liveness (anti-spoofing) Engine!

Steven C. Y. Hung, Jia-Hong Lee, Timmy S. T. Wan, Chein-Hung Chen, Yi-Ming Chan and Chu-Song Chen. "Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning" 2019 ACM on International Conference on Multimedia Retrieval

iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.

NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Passive Liveness Detection (3D Face Anti-Spoofing) Engine on Mobile

Analyze a series of face related attributes including age, gender, smile intensity, head pose, eye status, emotion, beauty, eye gaze, mouth status, skin status, face image quality and blurriness.

INA's library with pretrained models for gender and age prediction from faces.

Upgrade your iOS app with MiniAiLive's Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your iOS platform. Check out our latest repository containing a demonstration of 2D & 3D face liveness detection capabilities. Try it out today!

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.

This repo contains, training material, dlib implementation, tensorflow implementation and an own made complete system implementation with a parse-controller.

Finding Gender/Age of Authors based on written text

Keras implementation of EfficientNet model for age and gender estimation

[ D&A Conference ] 사진에서 배경에 존재하는 다른 사람들의 얼굴을 임의로 변환시켜주는 프로젝트

In this paper, we propose an architecture of Convolutional Neural Network (CNN) which can jointly learn representations for three tasks: smile detection, gender and age classification.