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

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Web, Artificial Intelligence and Network Applications (WAINA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 927))

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Abstract

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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Author information

Authors and Affiliations

  1. College of Engineering and Science, Victoria University Sydney, Sydney, Australia

    Farshid Hajati & Omid Ameri Sianaki

  2. College of Engineering and Computer Science, The Australian National University, Canberra, Australia

    Ali Cheraghian

  3. Electrical Engineering Department, Iran University of Science and Technology, Tehran, Iran

    Behnam Zeinali

  4. Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia

    Soheila Gheisari

Authors
  1. Farshid Hajati
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  2. Ali Cheraghian
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  3. Omid Ameri Sianaki
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  4. Behnam Zeinali
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  5. Soheila Gheisari
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Corresponding author

Correspondence to Farshid Hajati .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Hosei University, Koganei-Shi, Tokyo, Japan

    Makoto Takizawa

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Fatos Xhafa

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Hajati, F., Cheraghian, A., Ameri Sianaki, O., Zeinali, B., Gheisari, S. (2019). Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_92

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