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» Face Reconstruction in the Wild
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AVSS
2009
IEEE
14 years 2 months ago
A 3D Face Model for Pose and Illumination Invariant Face Recognition
Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The powe...
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami...
ICB
2007
Springer
207views Biometrics» more  ICB 2007»
13 years 11 months ago
Super-Resolved Faces for Improved Face Recognition from Surveillance Video
Characteristics of surveillance video generally include low resolution and poor quality due to environmental, storage and processing limitations. It is extremely difficult for comp...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
AVSS
2006
IEEE
14 years 1 months ago
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition
Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are difï...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
ICASSP
2008
IEEE
14 years 2 months ago
Camera and microphone array for 3D audiovisual face data collection
This paper proposes a novel camera/microphone array system capable of capturing dynamic facial expression video with synchronized speech and reconstructing realistic 3D face model...
Yuxiao Hu, Hao Tang, Thomas S. Huang
TMI
2008
118views more  TMI 2008»
13 years 6 months ago
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Imag
Abstract--Diffusion tensors are estimated from magnetic resonance images (MRIs) that are diffusion-weighted, and those images inherently contain noise. Therefore, noise in the diff...
Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Li...