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.
In this paper, we propose a two-level integrated model for accurate 3D tracking of rigid head motion and non-rigid facial animation. At the lowest level, the 2D shape of facial features is robustly extracted using a regularized shape model and a cascade multi-stage algorithm. At the highest level, we estimate both the facial animation and 3D pose parameters via minimizing an energy function comprising...
In recent years, security camera systems have been installed in various public facilities. More intelligent processes are needed to track people in image sequences for security camera systems. In this paper, we propose a face tracking and recognition method based on a Bayesian framework. We assume that an observed space is three-dimensional, and we estimate the 3D position of a person. We use facial...
Face recognition is an important technology for managing security, human interface, and so on. Though face recognition techniques have been used in many fields, it still has several problems to be solved, such as robustness to variations of pose, illumination and expression. In this paper, we focus our research on pose-robustness and propose a pose-robust face recognition method based on 3D reconstruction...
In years, security camera systems have been installed in various public facilities. More intelligent processes are needed to track people in image sequences for security camera systems. In this paper, we propose a face tracking and recognition method based on a Bayesian framework. We assume that an observed space is three-dimensional, and we estimate the 3D position of a person. We use facial 3D shape,...
This paper describes an image segmentation and normalization technique using 3D point distribution model and its counterpart in 2D space. This segmentation is efficient to work for holistic image recognition algorithm. The results have been tested with face recognition application using Cohn Kanade facial expressions database (CKFED). The approach follows by fitting a model to face image and registering...
In this paper, a methodology for facial feature identification and localization approach is proposed based on binary neural network algorithms. We present a head pose and facial expression invariant 3D shape descriptor called mesh-like multi circle curvature descriptor (MMCCD), which provides more 3D curvature attributes than other similar approaches. To search and match the feature patterns with...
We present a face recognition method based on sparse representation for recognizing 3D face meshes under expressions using low-level geometric features. First, to enable the application of the sparse representation framework, we develop a uniform remeshing scheme to establish a consistent sampling pattern across 3D faces. To handle facial expressions, we design a feature pooling and ranking scheme...
We describe a framework for face recognition at a distance based on sparse-stereo reconstruction. We develop a 3D acquisition system that consists of two CCD stereo cameras mounted on pan-tilt units with adjustable baseline. We first detect the facial region and extract its landmark points, which are used to initialize an AAM mesh fitting algorithm. The fitted mesh vertices provide point correspondences...
3D facial representations have been widely used for face recognition and facial expression recognition. Both local and global features can be extracted from either static or dynamic models in both spatial and temporal domains. 3D local features are referred to the features in regional facial areas while 3D global features are referred to the features from the entire facial region. In this paper, we...
This paper presents a completely automated facial action and facial expression recognition system using 2D + 3D images recorded in real-time by a structured light sensor. It is based on local feature tracking and rule-based classification of geometric, appearance and surface curvature measurements. Good performance is achieved under relatively non-controlled conditions.
In this paper we propose a novel method of generating 3D morphable models (3DMMs) from 2D images. We develop algorithms of 3D face reconstruction from a sparse set of points acquired from 2D images. In order to establish correspondence between images precisely, we combined active shape models (ASMs) and active appearance models (AAMs)(CASAAMs) in an intelligent way, showing improved performance on...
Automatic human face recognition is required in numerous applications. In this paper, a new approach for automatic face recognition system is developed based on 3D geometric face features. The objectives of this system are generating the real time automatic personal identification system, improvement of fast and accurate face recognition. The system developed the algorithm for computing the accurate...
In this paper we derive a novel geometric invariance on surfaces that it is preserved under affine and weak perspective transformations, and it is local, intrinsic and computed from the differential geometry of the surface. Our 3D shape features are based on the Gaussian curvature and Mean curvature. When a surface undergoes an affine transformation, the shape features are the affine transformed shape...
Orthognathic surgery is a routine procedure for the correction of facial deformity based on measured values of skeletal anomaly and asymmetry. Until recently, the measurements have been made from two-dimensional (2D) radiographs and any prediction of the patient's post-operative appearance could only be carried out using two-dimensional software. However, recent advances in virtual reality and three-dimensional...
This paper presents a novel method for 3D facial feature extraction. 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 discriminant 3D transform coefficients...
In this work, we proposed to use quantitative method to evaluate the accuracy of 3D face reconstruction algorithms. The reconstructed 3D faces are first aligned to the ground truth by iterative closest point (ICP) algorithm and then the shape difference between the two 3D faces is described by signal to noise ratio (SNR). Finally, the error maps (EM) illustrated the reconstruction errors on corresponded...
Face recognition is one of the most hot and challengeable technologies, which is based on biometrics, and also one of the most potential technologies. As the most natural and friendly identification method, automatic face recognition has become the important part of the next generation computing technology. 3D face recognition methods are able to overcome the problems resulting from illumination,...
Probabilistic and statistical model analysis methods based on the Bayesian approach have recently been applied to face tracking. Here, we propose a face tracking method based on a Bayesian framework of image sequences. We assume that an observed space is three-dimensional (3D) and model facial shape, rotation and translation in 3D. A 3D positional hypothesis is generated using the facial translation...
3D face data have the potential to improve the face recognition performance at disadvantageous conditions, such as uncontrolled illuminations, pose and expression. 3D nose tip location is the crucial step for registration and recognition of 3D face data. An automatic nose tip location and pose estimation method robust for pose changing at 3D face scans is proposed in this paper. We firstly gain some...
This paper surveys the topic of 3D face reconstruction using 2D images from a computer science perspective. Various approaches have been proposed as solutions for this problem but most have their limitations and drawbacks. Shape from shading, shape from silhouettes, shape from motion and analysis by synthesis using morphable models are currently regarded as the main methods of attaining the facial...
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.