Multiview 3D face modeling has attracted increasing attention recently and has become one of the potential avenues in future video systems. We aim to make more reliable and robust automatic feature extraction and natural 3D feature construction from 2D features detected on a pair of frontal and profile view face images. We propose several heuristic algorithms to minimize possible errors introdu...

In this paper, a precise and robust algorithm is presented to automatically model the 3D face with only single frontal face image. For shape and projection parameters estimation, an energy function is built to represent the difference between the approximate observed face 3D shape and estimated face 3D shape. To achieve more robust results, shape constraint is added to the energy function. For ...

Face recognition using standard 2D images struggles to cope with changes in illumination and pose. 3D face recognition algorithms have been more successful in dealing with these challenges. 3D face shape data is used as an independent cue for face recognition and has also been combined with texture to facilitate multimodal face recognition. Additionally, 3D face models have been used for pose c...

Online interaction with 3D facial animation is an alternative way of face-to-face communication for distance education. 3D facial modeling is essential for virtual educational environments establishment. This article presents a novel 3D facial modeling solution that facilitates quasifacial communication for online learning. Our algorithm builds 3D facial models from a single image, with support...

With the development of computer vision and computer graphics, face recognition technology has gradually developed from 2D to 3D. Using in-depth information of faces, 3D face recognition solves and overcomes the environment and changes in the expression that 2D face recognition encounters. In this paper, the principles of laser triangulation measurement applied in 3D detection and modeling of f...

This paper presents a method to recover the 3D configuration of a face in each frame of a video. The 3D configuration consists of the three translational parameters and the three orientation parameters which correspond to the yaw, pitch and roll of the face. Such information is important for applications like face modeling, recognition, expression analysis, etc. which require head stabilization...

Conventional 2D face recognition methods often struggle when a subject's head is turned even slightly to the side. In this study, a face recognition system based on 3D head modeling that is able to tolerate facial rotation angles was constructed by leveraging the Open source graphic library (OpenGL) framework. To minimize the extensive angle searching time that often occurs in conventional 3D m...

In this paper we present a method for 3D face reconstruction based on the use of a four camera acquisition system. Our method determines correspondences between surface patches on different views through a modeling of depth maps based on Markov Random Fields (MRFs). In order to reduce the occurrence of outliers the MRF-based modeling is bound to satisfy the epipolar constraint. We apply the bel...