To investigate the nature of facial information involved in the integration of audiovisual speech perception, we examined the influence of facial views on the McGurk effect under two auditory conditions. While the speech perception of most of the audiovisual syllables used was little affected by the facial views and the auditory noise, a stronger McGurk effect was obtained for the 3/4-view imag...

Interest is growing in improving all aspect of the interaction between human and computer including human emotions. It is a crucial task for a computer to understand human emotions. A very meaningful way of expressing human emotions is facial expression. In this paper, a model facial expression recognition based on Extreme Learning Machine is proposed. Salient facial feature segments like eyebr...

We present an unsupervised approach for learning to estimate three dimensional (3D) facial structure from a single image while also predicting 3D viewpoint transformations that match a desired pose and facial geometry. We achieve this by inferring the depth of facial key-points in an input image in an unsupervised way. We show how it is possible to use these depths as intermediate computations ...

Hair is a relevant characteristic of virtual characters, therefore the modeling of plausible facial hair and hairstyles is an essential step in the generation of computer generated (CG) avatars. However, the inherent geometric complexity of hair together with the huge number of filaments of an average human head make the task of modeling hairstyles a very challenging one. To date this is common...

In quantitative evaluation of facial skin chromophore content using color imaging, several factors such as view angle and facial curvature affect the accuracy of measured values. To determine the influence of view angle and facial curvature on the accuracy of quantitative image analysis, we acquire cross-polarized diffuse reflectance color images of a white-patched mannequin head model and huma...

This paper describes an idea of recognizing the human face in the presence of strong facial expressions using model based approach. The features extracted for the face image sequences can be efficiently used for face recognition. The approach follows in 1) modeling an active appearance model (AAM) parameters for the face image, 2) using optical flow based temporal features for facial expression...

Face super-resolution is a technology that transforms low-resolution face image into the corresponding high-resolution one. In this paper, we build novel parsing map guided network which extracts prior (i.e., map) directly from for following utilization. To exploit extracted fully, attention fusion block carefully designed, can not only effectively explore information of map, but also combines ...

Forgery with the digital images is being very easy now days due to advanced and open source image editing tools, software devises which supports a high quality of resolutions. Tempering documents for changing identity or sometimes fun increasing day by as era world. Detecting clues tampering verifying authenticity an important issues now-a-days growing research field. The existing in area forge...