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» Computationally Efficient Face Detection
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ICCV
2001
IEEE
16 years 5 months ago
Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy
In this paper we propose a novel inhomogeneous Gibbs model by the minimax entropy principle, and apply it to face modeling. The maximum entropy principle generalizes the statistic...
Ce Liu, Song Chun Zhu, Heung-Yeung Shum
174
Voted
PR
2010
141views more  PR 2010»
14 years 10 months ago
On the vulnerability of face verification systems to hill-climbing attacks
In this paper, we use a hill-climbing attack algorithm based on Bayesian adaption to test the vulnerability of two face recognition systems to indirect attacks. The attacking tech...
Javier Galbally, Chris McCool, Julian Fiérr...
165
Voted
CVPR
2009
IEEE
16 years 10 months ago
Maximizing Intra-individual Correlations for Face Recognition Across Pose Differences
The variations of pose lead to significant performance decline in face recognition systems, which is a bottleneck in face recognition. A key problem is how to measure the simila...
Annan Li (Chinese Academy of Sciences), Shiguang S...
130
Voted
CVPR
2006
IEEE
16 years 5 months ago
Accurate Face Alignment using Shape Constrained Markov Network
In this paper, we present a shape constrained Markov network for accurate face alignment. The global face shape is defined as a set of weighted shape samples which are integrated ...
Lin Liang, Fang Wen, Ying-Qing Xu, Xiaoou Tang, He...
126
Voted
CVPR
2007
IEEE
15 years 10 months ago
Accurate Dynamic Sketching of Faces from Video
A sketch captures the most informative part of an object, in a much more concise and potentially robust representation (e.g., for face recognition or new capabilities of manipulat...
Zijian Xu, Jiebo Luo