3D face reconstruction is a very challenging problem in computer vision, and is used as a prerequisite for many important vision tasks, e.g., face recognition and face frontalization. The importance of 3D face reconstruction is that we can estimate illumination and pose information by using the 3D shape of the face. Since the human face is a non-rigid 3D object, estimating the 2D shape of the f...

We present an approach to simultaneously solve the two problems of face alignment and 3D face reconstruction from an input 2D face image of arbitrary poses and expressions. The proposed method iteratively and alternately applies two sets of cascaded regressors, one for updating 2D landmarks and the other for updating reconstructed poseexpression-normalized (PEN) 3D face shape. The 3D face shape...

Face is having unique identity amongst all other biometric traits. Face recognition is performed using 2D and 3D facial data. 3D face recognition has many advantages over 2D Face recognition. This paper represents the 3D Face recognition challenges while processing the data captured using 3D face scanners. The performance of state-of-art, Face recognition system is affected due to pose, illumin...

In this paper we apply template protection to an authentication system based on 3D face data in order to protect the privacy of its users. We use the template protection system based on the helper data system (HDS). The experimental results performed on the FRGC v2.0 database demonstrate that the performance of the protected system is of the same order as the performance of the unprotected syst...

Face alignment and 3D face reconstruction are traditionally accomplished as separated tasks. By exploring the strong correlation between 2D landmarks and 3D shapes, in contrast, we propose a joint face alignment and 3D face reconstruction method to simultaneously solve these two problems for 2D face images of arbitrary poses and expressions. This method, based on a summation model of 3D face sh...

In order to perform coherent and robust interpretation of moving faces, one must resolve the inconsistency and ambiguities observed among multiple sources of highly noisy visual measurements. In this work, we describe a method for perceptual fusion through the estimation of observation covariance. We demonstrate the approach through a working system that performs real-time face detection and tr...

In this paper, we describe a new approach for estimating 3D pose of a human face from a monocular image. We assume that the shape of a face can be approximated by an ellipse and the ratio of the major to minor axis of the ellipse is given. We rst detect a face ellipse and then estimate the face pose. Compared with the existing feature-based approaches for face pose estimation, our approach is m...

We investigate how lighting can be used to influence how the personality of virtual characters is perceived. We propose a character-centric lighting system composed of three dynamic lights that can be configured using an interactive editor. To study the effect of character-centric lighting on observers, we created four lighting configurations derived from the photography and film literature. A ...

In recent years, 3D face recognition has obtained much attention. Using 2D face image as probe and 3D face data as gallery is an alternative method to deal with computation complexity, expensive equipment and fussy pretreatment in 3D face recognition systems. In this paper we propose a learning based 2D-3D face matching method using the CCA to learn the mapping between 2D face image and 3D face...