Illumination Normalization for Face Recognition via Jointly Optimized Dictionary-Learning and Sparse Representation
In this paper, we present a novel patch-based dictionary learning (DL) framework for face illumination normalization (IN). The proposed method is based on sparse representation that is from the coupled dictionaries (DL-IN). The used dictionary pairs in this paper are jointly optimized from paired fa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8528840/ |