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Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Adaptive Generic Face Recognition Single Sample per Person
2010/12/21
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the
database. In this case, m...
Learning Long Term Face Aging Patterns from Partially Dense Aging Databases
Face Aging Patterns Partially Dense Aging Databases
2010/12/20
Studies on face aging are handicapped by lack of long term dense aging sequences for model training. To handle this problem, we propose a new face aging model, which learns long term face aging patter...
Coupled metric learning for face recognition with degraded images
Coupled metric learning face recognition
2010/12/20
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited performance, due to the...
Incremental Face-Specific Subspace for Online-Learning Face Recognition,
Face-Specific Subspace Online-Learning Face Recognition
2010/12/15
A practical face recognition system is expected to have the ability to learn online to adapt to different variations of the imaging conditions in order to achieve better recognition performance, espec...
