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Anarghya Mitra and Zelun Luo

Real-time V ideo-based F ace Identity and E xpression Recognition. Anarghya Mitra and Zelun Luo. Mentor – Jia -Bin Huang Advisor – Professor Narendra Ahuja. Learned thus far. Survey Face detection Face recognition Expression recognition

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Anarghya Mitra and Zelun Luo

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  1. Real-time Video-based Face Identity and Expression Recognition AnarghyaMitra and ZelunLuo Mentor – Jia-Bin Huang Advisor – Professor NarendraAhuja

  2. Learned thus far • Survey • Face detection • Face recognition • Expression recognition • Implemented baseline face tracking using OpenCV APIs

  3. Materials Academic papers – • Face recognition: A literature survey • Image sets alignment for Video-Based Face Recognition • Dictionary-Based Face Recognition from Video • A Survey of Recent Advances in Face Detection • Development of Research on Facial Expression Recognition Tutorials – • Haar Cascade Classifiers in OpenCV

  4. Goals Improve an aspect of current expression recognition and facial tracking techniques in terms of accuracy or efficiency Implement a working system for facial detection and expression recognition Design a method to make current techniques robust to illumination, blur and pose

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