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» Adaptation of SIFT Features for Robust Face Recognition
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AMFG
2005
IEEE
183views Biometrics» more  AMFG 2005»
14 years 11 months ago
Robust Automatic Human Identification Using Face, Mouth, and Acoustic Information
Discriminatory information about person identity is multimodal. Yet, most person recognition systems are unimodal, e.g. the use of facial appearance. With a view to exploiting the ...
Niall A. Fox, Ralph Gross, Jeffrey F. Cohn, Richar...
CVPR
2008
IEEE
15 years 11 months ago
Robust 3D face recognition in uncontrolled environments
Most current 3D face recognition algorithms are designed based on the data collected in controlled situations, which leads to the un-guaranteed performance in practical systems. I...
Cheng Zhong, Zhenan Sun, Tieniu Tan, Zhaofeng He
WACV
2002
IEEE
15 years 2 months ago
Face Model Adaptation using Robust Matching and Active Appearance Models
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using deformable 3D models. For each frame, the proposed adaptation is sp...
Fadi Dornaika, Jörgen Ahlberg
CVPR
2008
IEEE
15 years 11 months ago
On the use of independent tasks for face recognition
We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
Àgata Lapedriza, David Masip, Jordi Vitri&a...
ACCV
2010
Springer
14 years 4 months ago
Face Recognition with Decision Tree-Based Local Binary Patterns
Many state-of-the-art face recognition algorithms use image descriptors based on features known as Local Binary Patterns (LBPs). While many variations of LBP exist, so far none of ...
Daniel Maturana, Domingo Mery, Alvaro Soto