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This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) document against the face image stored in the bio-metric chip of such a document. The purpose of this specific face recognition algorithm is to aid the automatic detection of forged ID documents where the photography printed on the document's surface has been altered or replaced...
Facial expression recognition has become key challenge in the field of anthropomorphic human-computer interaction. In this paper, an approach is presented for facial expression recognition through the shape of facial feature points and the texture information of specific areas, based on Active Appearance Model (AAM). First, find out that the shape and texture parameters can express more personalized...
Emotion recognition systems have an important role to play in the human-computer interactive applications (HCI). These systems are using facial features of face images and they are verifying or identifying the emotions. In this study, emotion identification algorithms are improved by using just mouth region features of a face. Region of interest (mouth region) is detected by Viola-Jones algorithms...
This paper presents an approach to blending a de-identified face region with its original background, for the purpose of completing the process of face de-identification. The re-identification risk of the de-identified FERET face images has been evaluated for the k-Diff-furthest face de-identification method, using several face recognition benchmark methods including PCA, LBP, HOG and LPQ. The experimental...
Existing facial expression recognition (FER) algorithms aim to extract discriminative features from a face. These discriminative features can be extracted only from the informative regions of a face. In this view, several face models are proposed which are mainly intended to extract geometrical features from a face, and hence these models may not be suitable for extract discriminative texture features...
Spontaneous facial expression recognition under uncontrolled conditions is a hard task. It depends on multiple factors including shape, appearance and dynamics of the facial features, all of which are adversely affected by environmental noise and low intensity signals typical of such conditions. In this work, we present a novel approach to Facial Action Unit detection using a combination of Convolutional...
Face Recognition is one of the most popular and powerful method of identification of the Face Recognition Systems. The identification is very important to identify the Images, Video, Graphics and Blurred and Noisy Images, Video and Graphics. Face identification has received substantial attention from researchers in face recognition, pattern recognition, biometrics, computer vision, and communities...
Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging. Tracking the face in an image includes gender identification and segmenting the face using the skin color. In the past, many methods have been proposed to identify a face in videos, such as feature-based detection, skin color...
Automatic recognition and interpretation of human emotions are becoming an integral part of intelligent products and services, which can lead to a breakthrough in domains such as healthcare, marketing, security, education and environment. This leads us towards Facial Expression Recognition (FER) systems, whose main objective is to detect an expressed emotion and recognize the same. The proposed work...
Gender classification using facial features has attracted researchers attention recently. Gender classification using texture features of faces exhibited promising improvement over other facial features. Gender classification finds applications in systems which use gender as one of the parameters. Local Binary Patterns (LBP) are known to have good texture representation properties. Through this paper...
Recently, there are increasing interests in inferring mirco-expression from facial image sequences. For micro-expression recognition, feature extraction is an important critical issue. In this paper, we proposes a novel framework based on a new spatiotemporal facial representation to analyze micro-expressions with subtle facial movement. Firstly, an integral projection method based on difference images...
Presently, face detection has become an important aspect in biometric identification systems. Among many other facial features like position of nose, lips, eye, face contour acts as an important classifier in face detection. It requires huge memory space to store reference images of face in face recognition. Thus memory space can be optimized if the contour of a face is stored instead of complete...
This paper describes the empathy oriented human-robot interaction model. It is projected to design the model capable of different empathic responses (parallel and reactive) during the course of interaction with the user, depending upon the personality and mood factors of the robot. The proposed model encompasses three main stages i.e., Perception, empathic appraisal and empathic expression. Perception...
Extraction of discriminate features which could represent the facial expression accurately plays a vital role in effective Facial Expression Recognition (FER). Although much progress has been made, selecting the discriminate features is still a challenging and interesting problem in the FER system. In this paper, we propose a new FER method, which uses the active shape mode (ASM) algorithm to landmark...
In this paper, face recognition against mouth shape variations is investigated. In order to detect possible mouth variations, the inner mouth landmarks are first detected by a landmark detector and then used to estimate the connectivity between the upper lip and the lower lip of a face image. The vertical distance between the middle inner points of upper lip and the lower lip is calculated, and then...
In this paper we address the challenge of performing face recognition on human faces that are wearing glasses. This is a common problem for face recognition and automatic identity checking at airports, as passengers frequently forget to remove their glasses when passing through customs. In order to solve this problem, we first propose an automatic glasses presence detection model based on the tree-pictorial-structured...
We present an active face processing system based on 3D shape information extracted by means of stereo information. We use two sets of stereo cameras with different field of views (FOV): One with a wide FOV is used for face tracking, while the other with a narrow FOV is used for face identification. We argue for two advantages of such a system: First, an extended work range, and second, the possibility...
Automatic face recognition has been integrated in many systems thanks to the improvement of face comparison algorithms. One of the main applications using facial biometry is the identity authentication at border control, which has already been adopted by a lot of airports. In order to proceed to a fast identity control, gates have been developed, to extract the ID document information on the one hand,...
In this article we rely on the recognition of emotions, more particularly the emotion of interest. To do so we used the FACS system, which is a method that describes the movements of the face, and it is widely used in recent times in many studies include for example the emotional analysis.
Topic Models has been applied to many Computer Vision problems, and in particular, facial expression recognition, with good results. However, the topic found by the topic models may be correlated, and hence the independent assumption may not hold. Correlated Topic Models (CTM) has be developed to tackle this problem. In this paper, we attempted to use Correlated Topic Models (CTM) for facial expression...
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