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There are several types of spoofing attacks to face recognition systems such as photograph, video or mask attacks. Recent studies show that face recognition systems are vulnerable to these attacks. In this paper, a countermeasure technique is proposed to protect face recognition systems against mask attacks. To the best of our knowledge, this is the first time a countermeasure is proposed to detect...
Recently, there has been an increasing interest in using 3D facial images as biometric modality. To that end, a proper representation of the 3D facial shape that would allow effective face matching is a major requirement. In this paper, we propose a novel 3D facial representation, dubbed, the face-tree. We describe the extraction process of this representation from 3D triangular mesh face model, then...
In this paper we present a fully automatic approach for identity-independent facial expression recognition from 3D video sequences. Towards that goal, we propose a novel approach to extract a scalar field that represents the deformations between faces conveying different expressions. We extract relevant features from this deformation field using LDA and then train a dynamic model on these features...
Vulnerability to spoofing attacks is a serious drawback for many biometric systems. Among all biometric traits, face is the one that is exposed to the most serious threat, since it is exceptionally easy to access. The limited work on fraud detection capabilities for face mainly shapes around 2D attacks forged by displaying printed photos or replaying recorded videos on mobile devices. A significant...
Significant improvements have been recently achieved in both quality and realism of computer generated characters, which are nowadays often very difficult to be distinguished from real ones. However, generating highly realistic facial expressions is still a challenging issue, since synthetic expressions usually follow a repetitive pattern, while in natural faces the same expression is usually produced...
Facial plastic surgery changes facial features to large extend and thus creating a major problem to face recognition system. This paper proposes a new face recognition system using novel shape local binary texture (SLBT) feature from face images cascaded with periocular feature for plastic surgery invariant face recognition. In-spite of many uniqueness and advantages, the existing feature extraction...
Most pregnant women are positive feeling and happy when the ultrasound scanning results the normal detection. However, if the finding gives unexpected anomaly detection, it is the cause of unnecessary anxiety and worry. Fetal neurobehavioral assessment is one of the antenatal assessments. The goal is to identify fetal being that is well or at risk and expected that the risk can be prevented or reduced...
This survey addresses methodologies for 3D mesh video retrieval including 3D mesh video action/motion retrieval and 3D mesh video facial expression recognition. They all involve retrieval procedures and, consequently, classification methods in order to identify similar actions/motions and facial expressions. The approaches are primarily categorized according to the 3D model representation that they...
Facial expression recognition can provide rich emotional information for human-robot interaction. This paper presents a facial expression recognition design that recognizes facial expressions as well as intensity and mixture ratio of six basic facial expressions. In this system, Active Appearance Model (AAM) and Lucas-Kanade image alignment algorithms are adopted to align the input facial images to...
This paper describes the use of tensor-based multivariate statistical discriminant methods in three-dimensional face applications for synthesis and modelling of face shapes and for recognition. The methods could recognise faces and facial expressions, synthesize new face shapes and generate facial expressions based on the the most discriminant vectors calculated in the training sets that contain classes...
In contrast to comparing faces via single exemplars, matching sets of face images increases robustness and discrimination performance. Recent image set matching approaches typically measure similarities between subspaces or manifolds, while representing faces in a rigid and holistic manner. Such representations are easily affected by variations in terms of alignment, illumination, pose and expression...
3D face modeling from 2D face images is of significant importance for face analysis, animation and recognition. Previous research on this topic mainly focused on 3D face modeling from a single 2D face image; however, a single face image can only provide a limited description of a 3D face. In many applications, for example, law enforcement, multi-view face images are usually captured for a subject...
Video cameras are extensively used in modern surveillance systems to detect, track, and recognize, objects, people, and anomalies. Their use in user authentication, however, has been limited primarily to close-range face recognition systems. In this paper, we explore user authentication based on gestures captured by a video camera. Unlike pure biometrics, such as fingerprints, iris scans, and faces,...
Face detection and recognition is a hot topic in the field of computer science. Lots of scholars have done some research in this regard. Once this technology is mature, it can be applied to many aspects of daily life, especially to some key departments which are relatively dependent on this technology and expect to have a very precise method to detect and recognize. This paper compared and analyzed...
The quality of biometric samples plays an important role in biometric authentication systems because it has a direct impact on verification or identification performance. In this paper, we present a novel 3D face recognition system which performs quality assessment on input images prior to recognition. More specifically, a reject option is provided to allow the system operator to eliminate the incoming...
Automatic face sketch recognition plays an important role in law enforcement. Recently, various methods have been proposed to address the problem of face sketch recognition by matching face photos and sketches, which are of different modalities. However, their performance is strongly affected by the modality difference between sketches and photos. In this paper, we propose a new face descriptor based...
Existing work of 3D morphable models mainly focuses on 3D face recognition and reconstruction but ignores the ear regions which are usually captured together with the face images. However, ears are almost rigid structures, which are relatively stable to age growth and resist the facial expression variations, making themselves an effective supplement of faces for personal identification. Hence, we...
This paper describes a method for recognition of continuous facial expression change in video sequences. ASM automatically localizes the facial feature points in the first frame and then tracks the feature points through the video frames. After that the step is the selection of the 20 optimal key facial points, those which change the most with changes in expression. Since the distance of geometric...
This paper proposes an efficient variant of the Iterative Closest Point (ICP) algorithm for 3D face recognition in the presence of occlusion. The new ICP variant improves the original one in two aspects: the computational efficiency and the robustness to occlusion changes. For the former one, a facial surface is firstly described as a Spherical Depth Map (SDM), based on which uniform down-sampling...
Computerized sketch-face recognition is a crucial element for law enforcement and has received considerable attention in the recent literature. Sketches of the suspect are hand-drawn or computer-rendered based on a verbal description of the suspect. However, the most popular and the only publicly available dataset, i.e. the CUFS face-sketch dataset, is far from realistic because the sketches are hand-drawn...
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