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MVA
1990
124views Computer Vision» more  MVA 1990»
13 years 6 months ago
Face Recognition without Features
We have developed a near-real-time computer system which can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to thos...
Matthew Turk, Alex Pentland
CIVR
2010
Springer
427views Image Analysis» more  CIVR 2010»
13 years 9 months ago
An efficient method for face retrieval from large video datasets
The human face is one of the most important objects in videos since it provides rich information for spotting certain people of interest, such as government leaders in news video,...
Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin...
FGR
2008
IEEE
111views Biometrics» more  FGR 2008»
14 years 14 hour ago
Reducing the other-race effect through caricatures
We recognize faces from our own race better than those from another race. Although the relative contribution of different mechanisms (e.g. contact vs. attention) remains elusive, ...
Jobany Rodriguez, Heather Bortfeld, Ricardo Gutier...
FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
13 years 9 months ago
Local Linear Regression (LLR) for Pose Invariant Face Recognition
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. ...
Xiujuan Chai, Shiguang Shan, Xilin Chen, Wen Gao
SIAMJO
2010
108views more  SIAMJO 2010»
13 years 3 months ago
Exposed Faces of Semidefinitely Representable Sets
A linear matrix inequality (LMI) is a condition stating that a symmetric matrix whose entries are affine linear combinations of variables is positive semidefinite. Motivated by th...
Tim Netzer, Daniel Plaumann, Markus Schweighofer