3D face recognition has gained growing attention in the last years, mainly because both the limitations of 2D images and the advances in 3D imaging sensors. This paper proposes a novel approach to perform 3D face matching by using a new metric, called the Surface Interpenetration Measure (SIM). The experimental results include a comparison with a state-of-art work presented in the literature an...

Computer vision solutions such as face detection and recognition, facial reenactment, facial expression analysis and gender detection have seen fruitful applications in various domains such as security, surveillance, social media and animation. Many of the above solutions have common pre-processing steps such as fiducial detection, appearance modeling, face structural modelings etc. These steps...

Pose and illumination changes from picture to picture are two main barriers toward full automatic face recognition. In this paper, a novel method to handle both pose and lighting condition simultaneously is proposed, which calibrates the pose and lighting condition to a pre-set reference condition through an illumination invariant 3D face reconstruction. First, some located facial landmarks and...

Face pose information is valuable for a variety of applications including unconstrained face recognition, natural human computer interfaces, and video database indexing. 3D pose estimation is a critical requirement for accurate face recognition using view varying representations, such as 2D intensity images. 3D pose extraction in this context requires 3D information, which is present in image s...

3D facial data has a great potential in overcoming the problems of illumination and pose variation in face recognition. In this paper, we investigate face recognition from range data by facial profiles and surface. An efficient symmetry plane detection method for facial range data is presented to help extract facial profile. A global profile matching method is then exploited to align and compar...

This paper presents automatic face authentication from facial surface analysis. This geometrical approach was motivated by diiculties encountered when considering frontal face recognition. Apart from being less sensitive to viewpoint and lighting conditions, the method exploits information which is complementary to grey level based approaches, enabling the fusion with those techniques. A 3D acq...

In this paper, we present a method to generate novel realistic 3D face model using a model trained from real 3D face data. 3D face samples are an important data platform for model training, algorithm design. Subject to the constraint of acquisition technology, sizes of current 3D face databases are relatively small and insufficient. The presented method is used to solve this problem. First real...

We present a 2D and 3D multimodal hybrid face recognition algorithm and demonstrate its performance on the FRGC v1.0 data. We use hybrid (feature-based and holistic) matching for the 3D faces and a holistic matching approach on the 2D faces. Feature-based matching is performed by offline segmenting each 3D face in the gallery into three regions, namely the eyes-forehead, the nose and the cheeks...

Multimodal 2D+3D face biometrics commonly report that performance improves relative to that of a single modality. Complete 2D and 3D data can be available during training because they are acquired in a controlled scenario. However, in the evaluation scenario, only partial 2D and 3D data can be acquired and hence available for recognition. In this paper we present experimental results that deter...

Recently, 3D aided face recognition, concentrating on improving performance of 2D techniques via 3D data, has received increasing attention due to its wide application potential in real condition. In this paper, we present a novel 3D aided face recognition method that can deal with the probe images in different viewpoints. It first estimates the face pose based on the Random Regression Forest, ...