Simulation theories for the perceptual processing of emotional faces assert that observers recruit the neural circuitry involved in creating their own emotional facial expressions in order to recognize the emotions and infer the feelings of others. The EEG mu rhythm is a sensorimotor oscillation hypothesized to index simulation of some actions during perceptual processing of these actions. The ...

Aiming at solving the problems of occlusion and illumination in face recognition, a new method of face recognition based on Kernel Principal Components Analysis (KPCA) and Collaborative Representation Classifier (CRC) is developed. The KPCA can obtain effective discriminative information and reduce the feature dimensions by extracting face’s nonlinear structures features, the decisive factor. C...

We propose a new deep network structure for unconstrained face recognition. The proposed network integrates several key components together in order to characterize complex data distributions, such as in unconstrained face images. Inspired by recent progress in deep networks, we consider some important concepts, including multi-scale feature learning, dense connections of network layers, and we...

The present work utilizes the generalized form of the signal detection theory (the General Recognition Theory) to formally model representation of faces during face perception. We tested the hypothesis that face perception, typically described as a holistic or configural process, can be formally described as an interactive processing of face parts, whereby one component of a face influences per...

PURPOSE People with age-related macular degeneration (AMD) have difficulties in familiar face recognition and facial expression discrimination. Our aim was to evaluate the visual processing of faces in AMD patients and whether this would be improved by anti-vascular endothelial growth factor therapy. This was a prospective interventional cohort study. PATIENTS Twelve patients with monocular w...

We provide a description and interpretation of signal detection theory as applied to the analysis of an individual stimulus in a recognition experiment. Despite the common use of signal detection theory in this context, especially in the face recognition literature, the assumptions of the model have rarely been made explicit. In a series of simulations, we first varied the stability of d’ and C...

We address the problem of fusion in a facial component approach to face verification. In our study the facial components are local image windows defined on a regular grid covering the face image. Gabor jets computed in each window provide face representation. A fusion architecture is proposed to combine the face verification evidence conveyed by each facial component. A novel modification of th...

We present a face recognition method using support vector machines which utilize intermediate output of convolutional neural networks for face detection. Face detection process carry out the functions both of detecting faces in input image with complex background and of generating the feature vector implicitly representing shape information and spatial arrangement of facial components to supply...

. We describe here our first effort for developing a virtual talking head able to engage a situated face-to-face interaction with a human partner. This paper concentrates on the low-level components of this interaction loop and the cognitive impact of the implementation of mutual attention and multimodal deixis on the communication task.

This paper presents a novel algorithm which generates three-dimensional face point trajectories for a given speech le with or without its text. The proposed algorithm rst employs an o -line training phase. In this phase, recorded face point trajectories along with their speech data and phonetic labels are used to generate phonetic codebooks. These codebooks consist of both acoustic and visual f...