An approach for analysis and representation of facial dynamics for recognition of facial expressions from image sequences is proposed. The algorithms we develop utilize optical ow computation to identify the direction of rigid and non-rigid motions that are caused by human facial expressions. A mid-level symbolic representation that is motivated by linguistic and psychological considerations is...

This paper describes a novel idea of face recognition across facial expression variations using model based approach. The approach follows in 1) modeling an active appearance model (AAM) for the face image, 2) using optical flow based temporal features for facial expression variations estimation, 3) and finally applying binary decision trees as a classifier for facial identification. The novelt...

Facial image processing is an area of research dedicated to the extraction and analysis of information about human faces; information which is known to play a central role in social interactions including recognition, emotion, and intention. Over the last decade, it has become a very active research field that deals with face detection and tracking, facial feature detection, face recognition, f...

Interactive image retrieval is a powerful tool for image queries without input examples. For example, it is useful when searching a photo of a specified criminal only through the recalling of the witness. Unlike traditional text search engine working on input strings or keywords, a system which supports image query is usually required to learn opinions from users by relevance feedback and the r...

This paper produces a person authentication system using learned lifting dyadic wavelet filters. Our system has the capability of identifying persons whose facial image is changed the size and angle of an original image. The learning algorithm is done by training free parameters in the lifting filters so as to maximize the cosine between a vector whose components are the lifting filters and a v...

In this research ,we develop a facial image retrieval computational model for the problem of facial images retrieval by integrating content-based image retrieval (CBIR) techniques and face recognition techniques(FERET) , with the verbal description of the semantic features of the facial image . Eigenfaces is applied to extract the characteristic feature images of the human face images. One hund...

Face recognition performance can be significantly influenced by face image quality. The approved ISO/IEC standard 19794-5 has specified recommendations for face photo taking for E-passport and related applications. Standardization of face image quality, ISO/IEC 29794-5, is in progress. Bad illumination, facial pose and out-of-focus are among main reasons that disqualify a face image sample. Thi...

We propose further mechanism to recognition facial images using a hybrid computing of principal component analysis and artificial neural network. Principal component analysis can used to extract in feature from its facial images using dimensional reduction techniques these feature will then be used to recognize in facial image in different environment .the feature of facial images, after conver...

In this paper, we present a method for fully automatic facial expression recognition in facial image sequences using feature extracted from tracking of facial landmarks. The facial landmarks at the first frame of the image sequence under examination are initialized using elastic bunch graph matching (EBGM) algorithm and tracked in the consecutive video frame over time. At first, the most discri...

The tracking and recognition of facial activities from image or video is useful in many applications such as animation and human machine interaction. The facial activities are described in three levels. In the bottom level, the facial components are detected. In the middle level, movements in the facial components can be identified. The top level represents the facial muscle movement and human ...