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ICCV
2009
IEEE
14 years 10 months ago
A Robust Elastic and Partial Matching Metric for Face Recognition
We present a robust elastic and partial matching metric for face recognition. To handle challenges such as pose, facial expression and partial occlusion, we enable both elastic ...
Gang Hua, Amir Akbarzadeh
ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...
ICCV
2009
IEEE
14 years 10 months ago
Subspace Constrained Mean-Shift
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn

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LukeStudent, PhD
Griffith University
Luke
CVPR
2009
IEEE
2653views Computer Vision» more  CVPR 2009»
14 years 11 months ago
Expression-Insensitive 3D Face Recognition using Sparse Representation
We present a face recognition method based on sparse representation for recognizing 3D face meshes under expressions using low-level geometric features. First, to enable the applic...
Xiaoxing Li, Tao Jia, Hao Zhang 0002
CVPR
2009
IEEE
14 years 11 months ago
Reducing JointBoost-Based Multiclass Classification to Proximity Search
Boosted one-versus-all (OVA) classifiers are commonly used in multiclass problems, such as generic object recognition, biometrics-based identification, or gesture recognition. Join...
Alexandra Stefan (University of Texas at Arlington...
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
14 years 11 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
CVPR
2009
IEEE
15 years 9 hour 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...
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
15 years 4 days ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia