An emotion detection algorithm using frontal facial image is presented in this paper. The algorithm is composed of three main stages: image processing stage and facial feature extraction stage, and emotion detection stage. In image processing stage, the face region and facial component is extracted by using fuzzy color filter, virtual face model, and histogram analysis method. The features for ...

An often reason for face recognition system failure is image changing because of head rotation. The way for improving face recognition is some kind of image transformation, for example, to some given head position. Unfortunately image transformation itself (without using information about spatial geometry of a face) in most cases does not provide adequate synthetic photograph and results in low...

The variation of facial appearance due to the viewpoint or pose obviously degrades the accuracy of any face recognition systems. One solution is generating the virtual frontal view from any given non-frontal view to obtain a virtual gallery/probe face. As the state-of-the-art face recognition algorithm, linear regression computes a reconstruction matrix from the images of each subject and then ...

This paper presents an approach for realistic virtual view generation using appearance clustering based local view transition model, with its target application on cross-pose face recognition. Previously, the traditional global pattern based view transition model (VTM) method was extended to its local version called LVTM, which learns the linear transformation of pixel values between frontal an...

In this work, we propose a novel methodology of re-identifying people in frontal video sequences, based on a spatio-temporal representation of the gait based on optic flow features, which we call Histogram Of Flow Energy Image (HOFEI). Optic Flow based methods do not require the silhouette computation thus avoiding image segmentation issues and enabling online re-identification (Re-ID) tasks. N...

We propose a low-complexity face synthesis technique which transforms a 2D frontal view image into views at specific poses, without recourse to computationally expensive 3D analysis or iterative fitting techniques that may fail to converge. The method first divides a given image into multiple overlapping blocks, followed by synthesising a nonfrontal representation through applying a multivariat...

Frontal sinus pattern matching is a useful means of forensic identification. By the use of radiographs forensic scientists have recognized that there are diverse anatomical variations in the structure of the frontal sinus. Radiographs are a diagnostic tool, widely used in dental practices, hospitals and other health disciplines. Most health institutions possess the facility to store radiographs...

Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...

Introduction: The surgical management of chronic frontal sinus disorders remains a challenge for rhinologists. The aim of this study was to evaluate the result of Draf III in a series of patients who underwent this procedure.   Materials and Methods: Twenty patients were included in this study. Demographic data, history of prior surgery, asthma,  aspirin sensitivity and Lund–Mackay score were r...

background: cognitive impairment in patients with parkinson’s disease (pd) mainly involves executive function (ef). the frontal assessment battery (fab) is an efficient tool for the assessment of efs. the aims of this study were to determine the validity and reliability of the psychometric properties of the persian version of fab and assess its correlation with formal measures of efs to provide...