In this paper suggests to define 20 facial features being used in practical program and the method of extraction of 20 facial features from 2D image. The experimental image is to be restricted to input one person's image, background of the image can be taken in anywhere, the lighting condition is not uniform, and there is no racial restriction. The suggested method is to seek facial candidate r...

The difficulties of locating a desired facial image in a large and varied collection are now the current main problem in this field. In order to search in such a large and varied images’ collection, there is a growing need for efficient storage and retrieval techniques. In this research, an effective approach towards content-based human facial image detection and retrieval is proposed. The rese...

The ability to analyze and reproduce specific-person facial expression is an important multimedia content service for mobile communication. In this paper, a novel three-layer facial animation model is presented for generating the personalized facial sketch animation, and the three layers are motion sequence layer, the reference shape layer, and the painting shape layer. Based on the model, a fa...

Facial expression recognition is a research issue. An Age classification is one of a facial expression recognition system and it is based on facial representation from human face images. In this paper we are using classification system for gray-scale facial images. The present paper proposes procedure for extracting the local texture features on a facial image. In this paper, the Motif Patterns...

In this paper an intelligent and efficient combination of several methods are employed for face and facial feature tracking with the motivation for real time applications. Face tracking algorithm is based on color and connected component analysis. It is scale, pose and orientation invariant, and can be implemented in real time in controlled environments. The more challenging problem of facial f...

Facial expressions being a part of gesture is a biggest asset for non verbal communication. We are using facial expression of current image as a context to hand gesture which again acts as a context to the next image linking the images in a video to extract unstable sentiments. Facial expression is not precise as beauty. It’s a vague concept; hence we have used Rough set. But some facial expres...

Computer generation and animation of facial images such as that described by Park (1982) rely on manual measurements of facial profiles and image reconstruction using solid modelling techniques. The resultant images tend to have a rather artificial cartoonlike quality which lacks realism when compared with the originals. Our method automates the measurement of facial dimensions and uses a new t...

An efficient, global and local image-processing based extraction and tracking of intransient facial features and automatic recognition of facial expressions from both static and dynamic 2D image/video sequences is presented. Expression classification is based on Facial Action Coding System (FACS) a lower and upper face action units (AUs), and discrimination is performed using Probabilistic Neur...

In this paper, an approach to the problem of automatic facial feature extraction from a still frontal posed image and classification and recognition of facial expression and hence emotion and mood of a person is presented. Feed forward back propagation neural network is used as a classifier for classifying the expressions of supplied face into seven basic categories like surprise, neutral, sad,...

Facial features are frequently used to represent local properties of a human face image in computer vision applications. In this paper, we present a fast algorithm that can extract the facial features online such that they can give a satisfying representation of a face image. It includes one step for a coarse detection of each facial feature by AdaBoost and another one to increase the accuracy ...