In this paper, a completely automatic face recognition system is presented. The method works on color images: after having localized the face and the facial features, it determines 24 facial fiducial points, and characterizes them applying a bank of Gabor filters which extract the peculiar texture around them (jets). Recognition is realized measuring the similarity between the different jets. The system is inspired by the elastic bunch graph method, while it does no assumption on the scale, pose, and the background. Comparison with standard algorithms is presented and discussed
Face recognition is an important biometric method because of its potential applications in many fiel...
We proposed a computer vision method for automatic facial expression recognition, which can be appli...
This project deals with automatic recognition of facial expression in colour pictures. At first, the...
A completely automatic face recognition system is presented. The method works on color and gray leve...
We present an algorithm for the automatic recognition of facial features for color images of either ...
There are many ways to describe and recognize the human face. The paper shows one of them - the feat...
We describe a method for the automatic identification of facial features (eyes, nose, mouth and chin...
Face recognition is an important biometric method because of its potential applications in many fiel...
In this work, I focus in a simple parameter-free statistical model that requires few training data a...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
Human face detection is concerned with finding the location and size of every human face in a given ...
To identify a person through visual processing, an image capturing device is used to capture a stati...
A working face recognition system requires the ability to represent facial images in such a way that...
Automatic recognition of human faces is an important and growing field. Several real-world applicati...
In this paper we propose a biometric face recognition system based on local features. Informative fe...
Face recognition is an important biometric method because of its potential applications in many fiel...
We proposed a computer vision method for automatic facial expression recognition, which can be appli...
This project deals with automatic recognition of facial expression in colour pictures. At first, the...
A completely automatic face recognition system is presented. The method works on color and gray leve...
We present an algorithm for the automatic recognition of facial features for color images of either ...
There are many ways to describe and recognize the human face. The paper shows one of them - the feat...
We describe a method for the automatic identification of facial features (eyes, nose, mouth and chin...
Face recognition is an important biometric method because of its potential applications in many fiel...
In this work, I focus in a simple parameter-free statistical model that requires few training data a...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
Human face detection is concerned with finding the location and size of every human face in a given ...
To identify a person through visual processing, an image capturing device is used to capture a stati...
A working face recognition system requires the ability to represent facial images in such a way that...
Automatic recognition of human faces is an important and growing field. Several real-world applicati...
In this paper we propose a biometric face recognition system based on local features. Informative fe...
Face recognition is an important biometric method because of its potential applications in many fiel...
We proposed a computer vision method for automatic facial expression recognition, which can be appli...
This project deals with automatic recognition of facial expression in colour pictures. At first, the...