Three-View Surveillance Video Based Face Modeling for Recogniton

@article{VonDuhn2007ThreeViewSV,
  title={Three-View Surveillance Video Based Face Modeling for Recogniton},
  author={S. Von Duhn and Myung Jin Ko and Lijun Yin and Terry Hung and Xiaozhou Wei},
  journal={2007 Biometrics Symposium},
  year={2007},
  pages={1-6}
}
3D face recognition has been researched intensively in recent decades. Most 3D data (so called range facial data) are obtained from 3D range imaging systems. Such data representations have been proven effective for face recognition in 3D space. However, obtaining such data requires subject cooperation in a constrained environment, which is not practical for many real applications of video surveillance. It is therefore in high demand to use regular video cameras to generate 3D face models for… 

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References

SHOWING 1-10 OF 22 REFERENCES
Matching 2.5D face scans to 3D models
TLDR
Experimental results are given for matching a database of 200 3D face models with 598 2.5D independent test scans acquired under different pose and some lighting and expression changes, showing the feasibility of the proposed matching scheme.
Three-dimensional animated face modeling from stereo video
TLDR
This paper develops a face-modeling system from calibrated stereo video input that is ready for MPEG-4 compatible facial animation, by adapting a generic wireframe model to the input.
3D Face Recognition Using Two Views Face Modeling and Labeling
  • Yi Sun, L. Yin
  • Computer Science
    2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops
  • 2005
TLDR
The experimental results show that the shape information obtained from the 3D individualized model can be used to classify and identify individual facial surfaces and provides the possibility to reduce the complexity of 3D data processing.
3D face modeling using two views and a generic face model with application to 3D face recognition
  • A. Ansari, M. Abdel-Mottaleb
  • Computer Science
    Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003.
  • 2003
TLDR
An algorithm for 3D face modeling from a frontal image and a profile image of a person's face is presented, using the 3D coordinates of automatically extracted facial feature points to deform a 3D generic face model to obtain a more realistic 3D model for that person.
Face Recognition Based on Fitting a 3D Morphable Model
This paper presents a method for face recognition across variations in pose, ranging from frontal to profile views, and across a wide range of illuminations, including cast shadows and specular
Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach
TLDR
This paper presents the computational tools and a hardware prototype for 3D face recognition and presents the results on the largest known, and now publicly available, face recognition grand challenge 3D facial database consisting of several thousand scans.
3D Assisted Face Recognition: A Survey of 3D Imaging, Modelling and Recognition Approachest
TLDR
3D face recognition has lately been attracting ever increasing attention and this paper complements other reviews in the face biometrics area by focusing on the sensor technology, and by detailing the efforts in 3D face modelling and 3D assisted 2D face matching.
Rapid modeling of animated faces from video
TLDR
A system that constructs textured 3D face models from videos with minimal user interaction and the goal is to allow an untrained user with a PC and an ordinary camera to create and instantly animate his/her face model in no more than a few minutes.
Three-Dimensional Face Recognition
TLDR
The result is an efficient and accurate face recognition algorithm, robust to facial expressions, that can distinguish between identical twins and compare its performance to classical face recognition methods.
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