The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
3D face analysis is a field of growing interest in the applied Computer Vision community, its applications including face recognition, modelling and biometrics, virtual and augmented reality. While several works exist on the extraction of feature points from 3D face data, there is so far no automatic system for 3D face feature contour segmentation. This paper focuses on the later problem: we aim to...
In this paper, we propose an approach using spatial displacement (or residue) of facial points, for Facial Expression Recognition using 3D facial models. It is shown that residues of facial points, have more information about facial expressions than the static expressive face itself. This approach overcomes some of the inherent defects in just taking the expressive face as the basic model to work...
In this paper we present a novel algorithm suitable to improve the accuracy of 3D face recognition. In the proposed algorithm, we represent the 3D points by point signatures and partition the facial data into fifteen regions according to ??three courtyards and five eyes?? theory in pencil sketch on facial image in Chinese traditional art. Then in each partition we use ICA getting eigenvalues of feature...
This paper proposed an approach to extraction of invariant surface descriptor for multi-view 3D face models. In this approach, 3D facial data were first normalized to the same location, scale and orientation. The normalized faces were then cropped to highlight the most significant region. Within this region, six 3D invariant moments were finally calculated and defined as a descriptor. The proposed...
On basis of binocular stereo vision, the paper puts forward a method to acquire the 3D data information of human face feature points, that is, by using a nominal camera to shoot 3D image pair and the method with the combination of prior experience in local face feature and Canny edge detection, 15 feature points are respectively extracted from the planar image. Under the conditions of epipolar constraint,...
In this paper, we present a fully automatic system for face recognition based on a silhouette of the face profile. Previous research has demonstrated the high discriminative potential of this biometric. However, for the successful employment of this characteristic one is confronted with many challenges, such as the sensitivity of a profile's geometry to face rotation and the difficulty of accurate...
Automatic 2.5D face landmarking aims at locating facial feature points on 2.5D face models, such as eye corners, nose tip, etc. and has many applications ranging from face registration to facial expression recognition. In this paper, we propose a rotation invariant 2.5D face landmarking solution based on facial curvature analysis combined with a generic 2.5D face model and make use of a coarse-to-fine...
The popularity of biometrics and its widespread use introduces privacy risks. To mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometrics were introduced, also known as the field of template protection. In parallel to these developments, fusion of multiple sources of biometric information have shown to improve the verification performance...
Facial expression recognition is an enabling technology for affective computing. Many existing facial expression analysis systems rely on automatically tracked facial feature points. Although psychologists have studied emotion perception from manually specified or marker-based point-light displays, no formal study exists on the amount of emotional information conveyed through automatically tracked...
Our pose-invariant point-pair descriptors, which encode 3D shape between a pair of 3D points are described and evaluated. Two variants of descriptor are introduced, the first is the point-pair spin image, which is related to the classical spin image of Johnson and Hebert, and the second is derived from an implicit radial basis function (RBF) model of the facial surface. We call this a cylindrically...
This paper proposes a simple but practical 2D ear detection algorithm based on arc-masking candidate extraction and AdaBoost polling verification. In the first half phase of the proposed ear detection algorithm, a few ear candidates are extracted by arc-masking edge search followed by multilayer mosaic and orthogonal projection histogram. Then, in the second half phase, the most likely ear candidate...
3D face recognition is attracting more attention due to the recent development in 3D facial data acquisition techniques. It is strongly believed that 3D Face recognition systems could overcome the inherent problems of 2D face recognition such as facial pose variation, illumination, and variant facial expression. In this paper we present a novel technique for 3D face recognition system using a set...
This paper presents a 3D face recognition method. In this method, 3D discrete cosine transform (DCT) is used to extract features. Before the feature extraction, faces are aligned with respect to nose tip and then registered two times: according to average nose and average face. Then the coefficients of 3D transformation are calculated. The most discriminating 3D transform coefficients are selected...
In this paper, the problem of person-independent facial expression recognition from 3D facial features is investigated. We propose a methodology for the selection of features that uses a multi-objective genetic algorithm where the number of features is optimized to improve classification accuracy. The facial feature selection aims to derive a set of features from the original expression images, which...
A comparison of several approaches that use graph matching and cascade filtering for landmark localization in 3D face data is presented. For the first method, we apply the structural graph matching algorithm ldquorelaxation by eliminationrdquo using a simple ldquodistance to local planerdquo node property and a ldquoEuclidean distancerdquo arc property. After the graph matching process has eliminated...
The design of a recognition system requires careful attention to pattern representation and classifier design. Some statistical approaches choose these features, in a higher dimensional initial space, which allow sample vectors belonging to different categories to occupy compact and disjoint cluster regions in a lower dimensional subspace. The effectiveness of the subspace is determined by how well...
3D information provides a significant improvement in recognition performance over 2D facial image data. However, the existing 3D approaches show limitations dealing with pose variation, e.g., 3D facial surfaces need to be aligned before the match operation. In this paper, an original framework which has the scale, rotation and expression invariance based on geometric invariant feature is proposed...
The 3D face recognition attracts more and more attention recently, because of its insensitivity to the variance of illumination and pose. In this paper, a novel self-adaptive 3D face recognition algorithm based on face feature division is proposed. This algorithm first divides the 3D face into some block regions based on face features, and then, four face surface characters are extracted for all the...
This paper proposes a novel face texture mapping framework to transform faces with different poses into a unique texture map. Under this framework, texture mapping can be realized by utilizing a generic 3D face model, standard Haar-like feature based detector, active appearance model and pose estimation algorithm. By this texture map, correspondence of every pixel at the face across multiple distinct...
Ethnicity is an important demographic attribute of human beings, and automatic face-based classification of ethnicity has promising applications in various fields. In this paper, we explore the ethnicity discriminability of both 2D and 3D face features, and propose an MM-LBP (Multi-scale Multi-ratio LBP) method, which is a multimodal method for ethnicity classification. LBP (Local Binary Pattern)...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.