This project extracts 3D face landmarks based on 2d screenshots of a 3D face (Lateral Left, Lateral Right and Front View)

InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU.

State-of-the-art 2D and 3D Face Analysis Project

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

RetinaFace: Deep Face Detection Library for Python

Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

Robust FEC-CNN for Face Datasets

The Face Recognition SDK with face liveness, face matching and face compare by employing face anti-spoofing, face landmarking and face feature extraction

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

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

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.

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 MiniAiLive Face Recognition & 3D Face Passive Liveness Detection Engine!

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!

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.

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!

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

Human Face Image Dataset

Face Image and Video Dataset (Asian race)

3D Facial Expressions Recognition Dataset

Multi-race and Multi-pose Face Images Dataset