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» Adaptation of SIFT Features for Robust Face Recognition
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TIM
2010
214views Education» more  TIM 2010»
14 years 4 months ago
Image-Quality-Based Adaptive Face Recognition
The accuracy of automated face recognition systems is greatly affected by intraclass variations between enrollment and identification stages. In particular, changes in lighting con...
Harin Sellahewa, Sabah Jassim
ICIAP
2005
ACM
15 years 9 months ago
Robust Face Recognition Based on Part-Based Localized Basis Images
In order for a subspace projection based method to be robust to local distortion and partial occlusion, the basis images generated by the method should exhibit a part-based local r...
Jongsun Kim, Juneho Yi
67
Voted
ICCV
2007
IEEE
15 years 11 months ago
Discriminant Embedding for Local Image Descriptors
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
Gang Hua, Matthew Brown, Simon A. J. Winder
86
Voted
ICPR
2006
IEEE
15 years 3 months ago
Gender Recognition in Non Controlled Environments
In most of the automatic face classification applications, images should be captured in natural environments, where partial occlusions or high local changes in the illumination a...
Àgata Lapedriza, Manuel J. Marín-Jim...
CVPR
2010
IEEE
15 years 6 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...