Face Recognition from Visible and Near-Infrared Images Using Boosted Directional Binary Code

Linlin Shen; Jinwen He; Shipei Wu; Songhao Zheng

doi:10.1007/978-3-642-25944-9_52

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Face Recognition from Visible and Near-Infrared Images Using Boosted Directional Binary Code

Linlin Shen Jinwen He Shipei Wu Songhao Zheng

Year: 2012 Lecture notes in computer science Pages: 404-411 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-25944-9_52

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Keywords:

Computer science Artificial intelligence Pattern recognition (psychology) AdaBoost Robustness (evolution) Computer vision Facial recognition system Binary number Cascade Code (set theory) Feature (linguistics) Image fusion Local binary patterns Support vector machine Image (mathematics) Histogram Mathematics

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Biometric Identification and Security

Physical Sciences → Computer Science → Signal Processing

Face recognition and analysis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face Recognition from Visible and Near-Infrared Images Using Boosted Directional Binary Code

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