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» A Bilinear Illumination Model for Robust Face Recognition
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FGR
2004
IEEE
323views Biometrics» more  FGR 2004»
13 years 11 months ago
Automatic 3D Reconstruction for Face Recognition
An analysis-by-synthesis framework for face recognition with variant pose, illumination and expression (PIE) is proposed in this paper. First, an efficient 2D-to-3D integrated fac...
Yuxiao Hu, Dalong Jiang, Shuicheng Yan, Lei Zhang,...
ICCV
2007
IEEE
14 years 9 months ago
A Study of Face Recognition as People Age
In this paper we study face recognition across ages within a real passport photo verification task. First, we propose using the gradient orientation pyramid for this task. Discard...
Haibin Ling, Stefano Soatto, Narayanan Ramanathan,...
ICIAR
2010
Springer
14 years 5 days ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
PAA
2006
13 years 7 months ago
A review on Gabor wavelets for face recognition
Due to the robustness of Gabor features against local distortions caused by variance of illumination, expression and pose, they have been successfully applied for face recognition....
LinLin Shen, Li Bai
PAMI
2007
184views more  PAMI 2007»
13 years 6 months ago
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recogn
Traditional photometric stereo algorithms employ a Lambertian reflectance model with a varying albedo field and involve the appearance of only one object. In this paper, we gene...
Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellapp...