Magic Mirror is a face swapping tool that replaces the user’s face with a selected famous person’s face in a database. The system consists of a user interface from which the user can select one of the celebrities listed. Upon selection, model fitting automatically starts using the results of face detection and facial feature localization. Model fitting results in a set of points which describe ...

Face is an important biometric feature for personal identification. This paper describes a new face verification methods based on singular value decomposition and RBF neural networks. The proposed method utilizes the positive samples and negative samples learning ability of RBF neural networks to improve singular values based face verification. Experiment results show that the novel face verifi...

Several studies have shown that face identification accuracy is lower in older than younger adults. This effect of aging might be due to age differences in holistic processing, which is thought to be an important component of human face processing. Currently, however, there is conflicting evidence as to whether holistic face processing is impaired in older adults. The current study therefore re...

To investigate the neuronal basis underlying face identification, the activity of face neurons in the anterior superior temporal sulcus (STS) and the anterior inferior temporal gyrus (ITG) of macaque monkeys was analyzed during their performance of a face-identification task. The face space was composed by the activities of face neurons during the face-identification task, based on a multidimen...

Previous research has suggested that an object's category is retrieved as soon as it is detected (Grill-Spector & Kanwisher, 2005). Here we examined whether face views and identities are likewise treated as categories. We measured behavioural performance on three tasks: face detection, recognition of face view within identity, and within-view face identification, by using the method of constant...

We present a biometric access control device which is based on the identification of human faces. The system combines a console for semiautomated image acquisition with the necessary algorithms for face recognition. Facial features are stored in a relatively compact data format (1.6 kB). ZN–Face runs on a Pentium 90 without any special accelerator hardware where it performs image acquisition, f...

Several applications in Computer Vision, like recognition, identification, automatic 3D modeling and animation and non conventional human computer interaction require the precise identification of landmark points in facial images. Here we present a fast and robust algorithm capable of identifying a specific set of landmarks on face profile images. First, the face is automatically segmented from...

With the adoption of pervasive surveillance systems and the development of efficient automatic face matchers, the question of preserving privacy becomes paramount. In this context, automated face de-identification is revived. Typical solutions based on eyes masking or pixelization, while commonly used in news broadcasts, produce very unnatural images. More sophisticated solutions were sparingly...

This paper reviews the contemporary (face, gait, and fusion) computational approaches for automatic human identification at a distance. For remote identification, there may exist large intra-class variations that can affect the performance of face/gait systems substantially. First, we review the face recognition algorithms in light of factors, such as illumination, resolution, blur, occlusion, ...

Method for face identification based on eigen value decomposition together with tracing trajectories in the eigen space after the eigen value decomposition is proposed. The proposed method allows person to person differences due to faces in the different emotions. By using the well known action unit approach, the proposed method admits the faces in the different emotions. Experimental results s...