Human Identification in the Wild
Aspire to Achieve

I am ...

    • https://www.effatuniversity.edu.sa/English/Research/Pages/default.aspx, A researcherhttps://www.effatuniversity.edu.sa/Arabic/Research/pages/default.aspx, باحث
      A researcher
    • https://www.effatuniversity.edu.sa/English/Academics/Undergraduate/, An undergraduatehttps://www.effatuniversity.edu.sa/Arabic/Academics/Undergraduate/, البكالوريوس
      An undergraduate
    • https://www.effatuniversity.edu.sa/English/Academics/Graduate/, A graduatehttps://www.effatuniversity.edu.sa/Arabic/Academics/Graduate/, الدراسات العليا
      A graduate

Human Identification in the Wild

​​Research Team

Dr. Wadee Al-Halabi – Computer Science Department, Effat University
Dr. Mohamed Abdel-Mottaleb – Electrical & Computer Engineering Department, University of Miami 

Project Summary

With a focus on the theories behind Virtual Reality, this project proposes novel algorithms of biometric identification. The main objectives include developing a statistical face modeling approach and studying the robustness of the model by analyzing the effect of variations in pose, facial expression and illumination on the recognition results. The performance of the proposed method is evaluated using the state-of-the-art face recognition databases and is compared with the most well-known and latest face recognition methods. The multi-modal biometrics is also explored by developing an algebraic algorithm to solve the SSS problem of the CCA-based feature-level fusion.



add chat to your website