LBPH-based Enhanced Real-Time Face Recognition

A near Real-time Face Recognition System Based on Eigenfaces

In this paper we propose a prototype of a near real-time automatic face recognition system that is aimed for operations in a less constrained environment, using the earliest appearance-based face recognition technique called eigenfaces. The main idea of eigenfaces is to decompose face images into a small set of significant characteristic feature images called eigenvectors, which are the princip...

Real-time face recognition using eigenfaces

Real Time Face Recognition under Different Conditions

Face recognition is an active area of research since 1980s. It is one of the most successful and important applications of image analysis and processing. Eigenface approach is one of the earliest appearance-based face recognition methods, which was developed by M. Turk and A. Pentland in 1991 [1]. This method utilizes the idea of the Principal Component Analysis (PCA) which decomposes a face im...

Real-time Face Recognition for Cloud Robot

This paper discusses our work with the design and implementation of real-time face recognition for cloud robot. Face recognition has been widely used for surveillance and airport security. Robot systems which support face recognition are available too. As for robots, real-time feedbacks from sensors are always required. In order to recognize a face in real time, the images captured by camera ha...

Real-Time Face Recognition Using Feature Combination

We present an experimental setup for real-time face identification in a cluttered scene. Color images of people are recorded with a static camera. A rough face detection is performed, and the resulting images are stored in a database. At a future time, a person standing in front of the camera (although against a different background) is identified, if their image was present in the database. In...