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» Face recognition using curvelet based PCA
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CVPR
2009
IEEE
16 years 4 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...
ICB
2009
Springer
255views Biometrics» more  ICB 2009»
14 years 7 months ago
Automatic Partial Face Alignment in NIR Video Sequences
Face recognition with partial face images is an important problem in face biometrics. The necessity can arise in not so constrained environments such as in surveillance video, or p...
Jimei Yang, ShengCai Liao, Stan Z. Li
ISNN
2004
Springer
15 years 3 months ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
IVC
2006
175views more  IVC 2006»
14 years 9 months ago
Face recognition using optimal linear components of range images
This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces fo...
Anuj Srivastava, Xiuwen Liu, Curt Hesher
106
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ICIP
2007
IEEE
15 years 11 months ago
Three Dimensional Face Recognition using Wavelet Decomposition of Range Images
Interest in face recognition systems has increased significantly due to the emergence of significant commercial opportunities in surveillance and security applications. In this pa...
Sina Jahanbin, Hyohoon Choi, Alan C. Bovik, Kennet...