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.
Most of the existing methods adopted in 3D facial expression recognition require manual-intervention, which should be avoided in automatic systems. In this paper, we propose an automatic data normalization method based on the point-to-point mapping between the depth value and the texture information of the facial data. Based on this, we further construct a new kind of 3D facial expression feature,...
Researches on 3D facial expression recognition have been extensively promoted in recent years, yet automatic 3D facial expression recognition is still a challenging problem. In this paper, we propose an easy-handled approach to address this problem and consequently improve its performance. In the approach, a 2D-image-like structure is utilized to represent the 3D models so that we can automatically...
Researches on 3D facial expression recognition (3D FER) have been greatly fostered by the creation of BU-3DFE (Binghamton University 3D Facial Expression) database, but given limited 3D methods, they encounter some bottlenecks now. A new approach to solve this problem is to transform facial expression from 3D models into 2D data, thus range image emerges, playing an intermediary role in current researches...
A new automatic framework is proposed for face recognition and its superiority performance is justified by the FRGC v2 data. Adaboost face detecting method is used for facial region extraction. Then 2D and 3D facial representations which are extracted by the Dual-tree Complex Wavelet Transform (DT-CWT) are introduced to reflect the facial geometry properties in this paper. The level four high-frequency...
In this paper, a novel method based on Gabor Wavelet Transform plus Local Binary Pattern is proposed for feature representation in 3D face recognition. Firstly, to enable the application of the new feature representation of the framework, Iterative Closet Point (ICP) is utilized as preprocessing to detect the nose tip by aligning a pair of symmetrical 3D face models of the same person, crop the interest...
A novel system for 3D face recognition is presented in this paper. Firstly, we reduce the noise and move spikes from all the 3D faces. Secondly, we use Iterative Closet Point (ICP) to align all 3D face with the first person, and then for each face, we find the nose tip. Once the nose tip is successfully found, we crop a region, which is defined by a sphere radius of 100 mm centered at the nose tip...
A new scheme for 3D face recognition is presented in this paper. Firstly, we use Iterative Closet Point (ICP) to align all 3D faces with the first 3D face. Secondly, we reduce noise, especially the noise which in front of the face, and remove the spikes. Then we detect the nose tip point. Once the nose tip is successfully found, we crop a region, which is defined by a sphere radius of 100 mm centered...
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.