Proceedings ArticleDOI
Reconstruction of 3D Face from a Single 2D Image for Face Recognition
Yuankui Hu,Ying Zheng,Zengfu Wang +2 more
- pp 217-222
TLDR
The experimental results show that the proposed 3D face modeling technique is efficient and the synthetic face exemplars can significantly improve the accuracy of face recognition with variant pose and illumination.Abstract:
In this paper, a synthetic exemplar based framework for face recognition with variant pose and illumination is proposed. Our purpose is to construct a face recognition system only according to one single frontal face image of each person for recognition. The framework consists of three main parts. First, a deformation based 3D face modeling technique is introduced to create an individual 3D face model from a single frontal face image of a person with a generic 3D face model. Then, the virtual faces for recognition at various lightings and views are synthesized. Finally, an Eigenfaces based classifier is constructed where the virtual faces synthesized are used as training exemplars. The experimental results show that the proposed 3D face modeling technique is efficient and the synthetic face exemplars can significantly improve the accuracy of face recognition with variant pose and illumination.read more
Citations
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Journal ArticleDOI
A Video, Text, and Speech-Driven Realistic 3-D Virtual Head for Human–Machine Interface
Jun Yu,Zengfu Wang +1 more
TL;DR: A multiple inputs-driven realistic facial animation system based on 3-D virtual head for human-machine interface based on parameterized model and muscular model is proposed, and the objective and subjective experiments show that the system is suitable forhuman-machine interaction.
Proceedings ArticleDOI
Data-driven 3D visual pronunciation of Chinese IPA for language learning
TL;DR: A real-time data-driven 3D visual pronunciation system of Chinese IPA that can illustrate the slight differences among phonemes by synthesizing both internal and external articulatory movements is proposed.
Journal ArticleDOI
A Video-Based Facial Motion Tracking and Expression Recognition System
Jun Yu,Zengfu Wang +1 more
TL;DR: The experiments showed that facial motion tracking byOSM+CHM is more pose robust than that by OSM, and the facial expression score of the robust and precise algorithm is higher than those of other state-of-the-art facial expression recognition methods.
Book ChapterDOI
View invariant head recognition by Hybrid PCA based reconstruction
Qingquan Wu,Jezekiel Ben-Arie +1 more
TL;DR: Empirical results show that the HPCA based SFS method provides 3D head reconstructions that notably improve the accuracy compared to other approaches, and significant contributions in novel approaches to global optimization and in SFS handling of variable and unknown surface albedo are included.
Journal ArticleDOI
Real-Time 3-D Facial Animation: From Appearance to Internal Articulators
TL;DR: A real-time 3-D facial animation system produces animation for appearance and internal articulators with high perceptual evaluation scores and quantitative improvements are demonstrated in the objective evaluation and user studies, compared with the outputs of other systems.
References
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Proceedings ArticleDOI
Face recognition using eigenfaces
Matthew Turk,Alex Pentland +1 more
TL;DR: An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Journal ArticleDOI
From few to many: illumination cone models for face recognition under variable lighting and pose
TL;DR: A generative appearance-based method for recognizing human faces under variation in lighting and viewpoint that exploits the fact that the set of images of an object in fixed pose but under all possible illumination conditions, is a convex cone in the space of images.
Proceedings ArticleDOI
A morphable model for the synthesis of 3D faces
Volker Blanz,Thomas Vetter +1 more
TL;DR: A new technique for modeling textured 3D faces by transforming the shape and texture of the examples into a vector space representation, which regulates the naturalness of modeled faces avoiding faces with an “unlikely” appearance.