Optical network for real-time face recognition

Optical network for real-time face recognition.

An optical network is described that is capable of recognizing at standard video rates the identity of faces for which it has been trained. The faces are presented under a wide variety of conditions to the system and the classification performance is measured. The system is trained by gradually adaptingphotorefrac tive holograms.

Real time face recognition system using autoassociative neural network models

This paper proposes a novel method for video-based real time face recognition. The proposed method uses motion information to detect the face region, and the region is processed in color space to determine the location of the eyes. The system extracts only the gray level features relative to the location of the eyes. Autoassociative Neural Network (AANN) model is used to capture the distributio...

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 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...