Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security

  • Farshid HajatiEmail author
  • Ali Cheraghian
  • Omid Ameri Sianaki
  • Behnam Zeinali
  • Soheila Gheisari
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 927)


We propose Polar Topographic Derivatives (PTD) to fuse the shape and texture information of a facial surface for 3D face recognition. Polar Average Absolute Deviations (PAADs) of the Gabor topography maps are extracted as features. High-order polar derivative patterns are obtained by encoding texture variations in a polar neighborhood. By using the and Bosphorus 3D face database, our method shows that it is robust to expression and pose variations comparing to existing state-of-the-art benchmark approaches.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Farshid Hajati
    • 1
    Email author
  • Ali Cheraghian
    • 2
  • Omid Ameri Sianaki
    • 1
  • Behnam Zeinali
    • 3
  • Soheila Gheisari
    • 4
  1. 1.College of Engineering and ScienceVictoria University SydneySydneyAustralia
  2. 2.College of Engineering and Computer ScienceThe Australian National UniversityCanberraAustralia
  3. 3.Electrical Engineering DepartmentIran University of Science and TechnologyTehranIran
  4. 4.Faculty of Engineering and Information TechnologyUniversity of Technology SydneyUltimoAustralia

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