This paper introduces a novel deformable model for face mapping and its application to automatic person identification. While most face recognition techniques directly model the face, our goal is to model the transformation between face images of the same person. As a global face transformation may be too complex to be modeled in its entirety, it is approximated by a set of local transformation...

A scheme for pose-independent face recognition is presented. An “unwrapped” texture map is constructed from a video sequence using a texture-from-motion approach, which is shown to be quite accurate. Simple lighting normalization methods improve robustness to directional and/or varying lighting conditions. Recognition of single frames against calculated unwrapped textures is carried out using p...

Biometrics is an emerging area of bioengineering that pursues the characterization of a person by means of something that the person is or produces. Face recognition is a particularly attractive biometric challenge. Most of the face recognition research performed in the past used 2D intensity images. However, algorithms based on 2D images are not robust to changes of illumination in the environ...

Recent work demonstrates that human face identification is most efficient when based on horizontal, rather than vertical, image structure. Because it is unclear how this specialization for upright (compared to inverted) face processing emerges in the visual system, the present study aimed to systematically characterize the orientation sensitivity profile for face identification. With upright fa...

current study has investigated the effects of perceived social responsibility on brand reputation, brand identification and purchase intention. this applied research falls into the category of descriptive / survey ones. all golestan brand customers in shiraz city are considered as statistical population. among the population, using non-probability sampling method, 384 individuals selected. vali...

The present study had two aims. The first aim was to explore the possible top-down effect of face-recognition and/or face-identification processes on the formation of structural representation of faces, as indexed by the N170 ERP component. The second aim was to examine possible ERP manifestations of face identification processes as an initial step for assessing their time course and functional...

The paper presents a comparative study of performance for face recognition algorithms in order to select the algorithms that have the highest performance and overcome the problems faced in recognition due to plastic surgery. A plastic surgery database that contains face images with different types of surgeries is used.. The work reports the performance evaluation of eleven photometric illuminat...

Secure facial identification systems compare an input face to a protected list of subjects. If this list were to be made public, there would be a severe privacy/confidentiality breach. A common approach to protect these lists of faces is to store a representation (descriptor or vector) of the face that is not directly mappable to its original form. In this thesis, we consider a recently develop...

In this paper, we address the modality integration issue on the example of a smart room environment aiming at enabling person identification by combining speech and 2D face images. First we introduce the monomodal audio and video identification techniques and then we present the use of combined input speech and face images for person identification. The various sensory modalities, speech and fa...

Recently, some novel human-machine interfaces (HMI) have been created for disabled and elderly people to control intelligent wheelchairs (IW) using facial and head gestures. To operate a wheelchair in this new visual-based control mode, user identification should be conducted beforehand. Rather than traditional user identification that requires the user to input his/her username and password by...