The area of face recognition is one the most widely researched areas in domain computer vision and biometric. This because non-intrusive nature biometric makes it comparatively more suitable for application surveillance at public places such as airports. primitive methods could not give very satisfactory performance. However, with advent machine deep learning their recognition, several major br...

We introduce a novel approach to face models, which exploits the use of Partial Differential Equations (PDE) to generate the 3D face. This addresses some common problems of existing face models. The PDE face benefits from seamless merging of surface patches by using only a relatively small number of parameters based on boundary curves. The PDE face also provides users with a great degree of fre...

Accurate and plausible 3D face reconstruction remains a difficult problem up to this day, despite the tremendous advances in computer technology and the continuous growth of the applications utilizing 3D face models (e.g. biometrics, movies, gaming). In this paper, a two-step technique for efficient 3D face reconstruction from a set of face images acquired using an uncalibrated camera is presen...

We present a 3D face animation method based on the morphable model. Given a facial image, the 3D face can be reconstructed automatically by the morphable model. So it is feasible to animate any face with the model. To construct the morphable model, a set of neutral 3D faces are acquired and aligned. A general parameterized animation model is constructed from expressive 3D faces and used to anim...

A fully automated 3D face reconstruction system for faces in 2D images is presented. It is implemented incorporating a method for facial feature detection into the initialization of the 3D face reconstruction process provided by Blanz et al.[2][3]. The initialization of that method takes alignments of previously selected facial feature points with their according vertices in the 3D face model. ...

Biometric measurements received an increasing interest for security applications in the last two decades. After the 911 terrorist attacks, face recognition has been an active research in this area. However, very few research group focus on face recognition from both 2D and 3D facial images. Almost all existing recognition systems rely on a single type of face information: 2D intensity (or color...

Many researches in face recognition have been dealing with the challenge of the great variability in head pose, lighting intensity and direction,facial expression, and aging. The main purpose of this overview is to describe the recent 3D face recognition algorithms. The last few years more and more 2D face recognition algorithms are improved and tested on less than perfect images. However, 3D m...

A 3D head modeling method from a sequence of 2D images is described. The views from which the input images are acquired are not calibrated. Therefore, an auto-calibration method for a sequence of images with small rotations and translation is developed. For this purpose, we have modified an already existing auto-calibration algorithm to incorporate known aspect ratio and skew values to make it ...

3D has become an important modality for face biometrics. The accuracy of a 3D face recognition system depends on a correct registration that aligns the facial surfaces and makes a comparison possible. The best results obtained so far use a one-to-all registration approach, which means each new facial surface is registered to all faces in the gallery, at a great computational cost. We explore th...