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AIPR
2001
IEEE
15 years 6 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
CAIP
2009
Springer
221views Image Analysis» more  CAIP 2009»
15 years 9 months ago
Model Based Analysis of Face Images for Facial Feature Extraction
This paper describes a comprehensive approach to extract a common feature set from the image sequences. We use simple features which are easily extracted from a 3D wireframe model ...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...
CVPR
2007
IEEE
16 years 4 months ago
Using Stereo Matching for 2-D Face Recognition Across Pose
We propose using stereo matching for 2-D face recognition across pose. We match one 2-D query image to one 2-D gallery image without performing 3-D reconstruction. Then the cost o...
Carlos D. Castillo, David W. Jacobs
CGF
2004
122views more  CGF 2004»
15 years 2 months ago
Exchanging Faces in Images
Pasting somebody's face into an existing image with traditional photo retouching and digital image processing tools has only been possible if both images show the face from t...
Volker Blanz, Kristina Scherbaum, Thomas Vetter, H...
FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
14 years 6 months ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto