LS-SIFT: Enhancing the Robustness of SIFT During Pose-Invariant Face Recognition by Learning Facial Landmark Specific Mappings

The proper functioning of many real-world applications in biometrics and surveillance depends on the robustness of face recognition systems against pose, and illumination variations. In this work, we employ ensemble systems in conjunction with local descriptors to address pose-invariant face recogni...

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मुख्य लेखकों:	Shinfeng D. Lin, Paulo E. Linares Otoya
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	IEEE 2024-01-01
श्रृंखला:	IEEE Access
विषय:	Facial landmarks local feature extraction head pose description ensemble learning face recognition
ऑनलाइन पहुंच:	https://ieeexplore.ieee.org/document/10540585/
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