Project in Advanced Computer Vision course in NTU
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Updated
Oct 17, 2020 - Python
Project in Advanced Computer Vision course in NTU
A face recognition solution on mobile device.
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 Passive Liveness (Anti-Spoofing) Engine!
Computer Vision Project: This repository contains code for a facial emotion recognition system based on the FER2018 dataset from Kaggle. The FER2018 dataset consists of 35,887 grayscale images of faces, each labeled with one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, or neutral.
This repository contains source code implementation of assignments for NTU's MSAI course AI6126 on Advanced Computer Vision (2020 Sem 1).
The project mainly forcus on using recordIO to pack images and transforming learning for object classification.
Classify male/female, smiling/not smiling with dlib face embedding features and SVM.
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.
This is the world first repository which describes full solutions for Physical Access Control System containing from hardware design, Face Recognition & Face Liveness Detection (3D Face Passive Anti-spoofing) model to deployment for device. Can be applied to face recognition based smart-lock or similar solution easily.
Face aligner and cropper with quality enhancement and attribute parsing
Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset
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 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.
Face Attribute Prediction on CelebA benchmark with PyTorch Implementation
Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection
Six face attributes predication from a single face image (Toy Project)
NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Windows Server SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Attribute Analysis
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.
NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Linux Server SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Attribute Analysis
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