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The MediaPipe Face Detection model is a high-performance, real-time face detection solution that uses machine learning to identify faces in images and video streams. It is optimized for mobile and embedded platforms, offering fast and accurate face detection while maintaining a small memory footprint. This model supports multiple face detections and is highly efficient, making it suitable for a variety of applications such as augmented reality, user authentication, and facial expression analysis.

Blazeface is a lightweight, high-performance face detection model designed for mobile and embedded devices, developed by TensorFlow. It is optimized for real-time face detection tasks and runs efficiently on mobile CPUs, ensuring minimal latency and power consumption. Blazeface is based on a fast architecture and uses deep learning techniques to detect faces with high accuracy, even in challenging conditions. It supports multiple face detection in varying lighting and poses, and is designed...

Ivolution is a face timelapse generator. Feed it with a bunch of images and it will generate a movie with your face centered on the screen. Ivolution uses face detection and modifies the images so that your face always keeps the same size and location over the movie. Images are processed in chronological order, so that you can see your face evoluate over time !

1>Face Recognition on real-time based. 2>shirt -color recognition on image based.

Artificial neural network with eigenfaces for face recognition

An open source face recognition project.

System using to verify personality by face's photo.

Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI

The purpose of this project is to provide a biometric security solution by using voice print, fingerprint and/or facial recognition along with a password and/or smart card support using AES to protect data. Please read forums for if interested.

The development of a biometric system and applications e.g. Access Control based on the system to recognize and verify people. The primary goal is face recognition, but other human attributes might get used too in the future.

WHAY is a Video-based Face Recognition tool written in MATLAB. It aims to exploits PCA recognizing as better as possible and tests the limits of this approach.