AuthenMetric F 1 : A Highly Accurate and Fast Face Recognition System
AuthenMetric F1 is a face-based biometric authentication system. Like Formula One (F1), the system is fast and accurate. Better than that F1, this F1 makes no disasters, hence can save money and human lives. As a demo at ICCV, it must have been made of scientific ingredients of computer vision, such as innovative imaging hardware, local feature extraction and statistical learning; it is further enhanced by engineering inspirations. The system is high in both speed and accuracy. A users can be identified quickly once he/she sees him/herself in a mirror or LCD, at a distance of an arm away from the camera. The performance is regardless of illumination changes. Interested? Come to user-experience the magic. Technically, we present a highly accurate, realtime face recognition system for cooperative user applications. The novelties are: (1) a novel design of camera hardware, and (2) a learning based procedure for effective face and eye detection and recognition with the resulting imagery. The hardware minimizes environmental lighting and delivers face images with frontal lighting. This avoids many problems in subsequent face processing to a great extent. The face detection and recognition algorithms are based on a local feature representation. Statistical learning is applied to learn most effective features and classifiers for building face detection and recognition engines. The novel imaging system and the detection and recognition engines are integrated into a powerful face recognition system. Evaluated in real-world user scenario, a condition that is harder than a technology evaluation such as Face Recognition Vendor Tests (FRVT), the system has demonstrated excellent accuracy, speed and usability.