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

Farshid Hajati; Ali Cheraghian; Omid Ameri Sianaki; Behnam Zeinali; Soheila Gheisari

doi:10.1007/978-3-030-15035-8_92

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

Farshid Hajati
, Ali Cheraghian
, Omid Ameri Sianaki
, Behnam Zeinali
, Soheila Gheisari

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019)
Editors	Leonard Barolli, Makoto Takizawa, Fatos Xhafa, Tomoya Enokido
Place of Publication	Switzerland
Publisher	Springer Cham
Pages	936-945
ISBN (Print)	9783030150341, 9783030150358
DOIs	https://doi.org/10.1007/978-3-030-15035-8_92
Publication status	Published - 31 Dec 2019
Event	AINA 2019: The 33rd International Conference on Advanced Information Networking and Applications - Kunibiki Messe, Matsue, Japan, Matsue, Japan Duration: 27 Mar 2019 → 29 Mar 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Number	AISC927

Conference

Conference	AINA 2019: The 33rd International Conference on Advanced Information Networking and Applications
City	Matsue, Japan
Period	27/03/19 → 29/03/19

Access to Document

10.1007/978-3-030-15035-8_92

https://hdl.handle.net/1959.11/70661

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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 L. Barolli, M. Takizawa, F. Xhafa, & T. Enokido (Eds.), Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019) (pp. 936-945). (Advances in Intelligent Systems and Computing; No. AISC927). Springer Cham. https://doi.org/10.1007/978-3-030-15035-8_92

Hajati, Farshid ; Cheraghian, Ali ; Ameri Sianaki, Omid et al. / Polar Topographic Derivatives for 3D Face Recognition : Application to Internet of Things Security. Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019). editor / Leonard Barolli ; Makoto Takizawa ; Fatos Xhafa ; Tomoya Enokido. Switzerland : Springer Cham, 2019. pp. 936-945 (Advances in Intelligent Systems and Computing; AISC927).

@inproceedings{4e7df43f8374463b92cdd99429c1ffc0,

title = "Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security",

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.",

author = "Farshid Hajati and Ali Cheraghian and \{Ameri Sianaki\}, Omid and Behnam Zeinali and Soheila Gheisari",

year = "2019",

month = dec,

day = "31",

doi = "10.1007/978-3-030-15035-8\_92",

language = "English",

isbn = "9783030150341",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Cham",

number = "AISC927",

pages = "936--945",

editor = "Leonard Barolli and Makoto Takizawa and Fatos Xhafa and Tomoya Enokido",

booktitle = "Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019)",

note = "AINA 2019: The 33rd International Conference on Advanced Information Networking and Applications ; Conference date: 27-03-2019 Through 29-03-2019",

}

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 L Barolli, M Takizawa, F Xhafa & T Enokido (eds), Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019). Advances in Intelligent Systems and Computing, no. AISC927, Springer Cham, Switzerland, pp. 936-945, AINA 2019: The 33rd International Conference on Advanced Information Networking and Applications, Matsue, Japan, 27/03/19. https://doi.org/10.1007/978-3-030-15035-8_92

Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security. / Hajati, Farshid; Cheraghian, Ali; Ameri Sianaki, Omid et al.
Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019). ed. / Leonard Barolli; Makoto Takizawa; Fatos Xhafa; Tomoya Enokido. Switzerland: Springer Cham, 2019. p. 936-945 (Advances in Intelligent Systems and Computing; No. AISC927).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Polar Topographic Derivatives for 3D Face Recognition

T2 - AINA 2019: The 33rd International Conference on Advanced Information Networking and Applications

AU - Hajati, Farshid

AU - Cheraghian, Ali

AU - Ameri Sianaki, Omid

AU - Zeinali, Behnam

AU - Gheisari, Soheila

PY - 2019/12/31

Y1 - 2019/12/31

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-030-15035-8_92

DO - 10.1007/978-3-030-15035-8_92

M3 - Conference contribution

SN - 9783030150341

SN - 9783030150358

T3 - Advances in Intelligent Systems and Computing

SP - 936

EP - 945

BT - Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019)

A2 - Barolli, Leonard

A2 - Takizawa, Makoto

A2 - Xhafa, Fatos

A2 - Enokido, Tomoya

PB - Springer Cham

CY - Switzerland

Y2 - 27 March 2019 through 29 March 2019

ER -

Hajati F, Cheraghian A, Ameri Sianaki O, Zeinali B, Gheisari S. Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security. In Barolli L, Takizawa M, Xhafa F, Enokido T, editors, Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019). Switzerland: Springer Cham. 2019. p. 936-945. (Advances in Intelligent Systems and Computing; AISC927). doi: 10.1007/978-3-030-15035-8_92

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

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