Anti-spoofing face recognition using infrared structure light

Shengtao Sun; Yue Tian; Ying Tang; Ben Wu

doi:10.1364/FIO.2020.FW1F.3

Anti-spoofing face recognition using infrared structure light

Shengtao Sun, Yue Tian, Ying Tang, Ben Wu

Electrical Engineering

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

4 Scopus citations

Abstract

We demonstrate an anti-spoofing face recognition system that is able to differentiate real human face with 3D printed materials. Face images captured in infrared structure light are analyzed for surface materials and spatial structure.

Original language	English (US)
Title of host publication	Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781943580804
DOIs	https://doi.org/10.1364/FIO.2020.FW1F.3
State	Published - Sep 14 2020
Event	2020 Frontiers in Optics Conference, FiO 2020 - Washington, United States Duration: Sep 14 2020 → Sep 17 2020

Publication series

Name	Optics InfoBase Conference Papers
ISSN (Electronic)	2162-2701

Conference

Conference	2020 Frontiers in Optics Conference, FiO 2020
Country/Territory	United States
City	Washington
Period	9/14/20 → 9/17/20

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Access to Document

10.1364/FIO.2020.FW1F.3

Cite this

Sun, S., Tian, Y., Tang, Y., & Wu, B. (2020). Anti-spoofing face recognition using infrared structure light. In Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020 Article FW1F.3 (Optics InfoBase Conference Papers). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/FIO.2020.FW1F.3

@inproceedings{99654f971ddc4f43b1a64a337bd6af33,

title = "Anti-spoofing face recognition using infrared structure light",

abstract = "We demonstrate an anti-spoofing face recognition system that is able to differentiate real human face with 3D printed materials. Face images captured in infrared structure light are analyzed for surface materials and spatial structure.",

author = "Shengtao Sun and Yue Tian and Ying Tang and Ben Wu",

note = "Publisher Copyright: {\textcopyright} OSA 2020 {\textcopyright} 2020 The Author(s); 2020 Frontiers in Optics Conference, FiO 2020 ; Conference date: 14-09-2020 Through 17-09-2020",

year = "2020",

month = sep,

day = "14",

doi = "10.1364/FIO.2020.FW1F.3",

language = "English (US)",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020",

}

Sun, S, Tian, Y, Tang, Y & Wu, B 2020, Anti-spoofing face recognition using infrared structure light. in Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020., FW1F.3, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), 2020 Frontiers in Optics Conference, FiO 2020, Washington, United States, 9/14/20. https://doi.org/10.1364/FIO.2020.FW1F.3

Anti-spoofing face recognition using infrared structure light. / Sun, Shengtao; Tian, Yue; Tang, Ying et al.
Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020. Optica Publishing Group (formerly OSA), 2020. FW1F.3 (Optics InfoBase Conference Papers).

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

TY - GEN

T1 - Anti-spoofing face recognition using infrared structure light

AU - Sun, Shengtao

AU - Tian, Yue

AU - Tang, Ying

AU - Wu, Ben

PY - 2020/9/14

Y1 - 2020/9/14

N2 - We demonstrate an anti-spoofing face recognition system that is able to differentiate real human face with 3D printed materials. Face images captured in infrared structure light are analyzed for surface materials and spatial structure.

AB - We demonstrate an anti-spoofing face recognition system that is able to differentiate real human face with 3D printed materials. Face images captured in infrared structure light are analyzed for surface materials and spatial structure.

UR - http://www.scopus.com/inward/record.url?scp=85106000798&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85106000798&partnerID=8YFLogxK

U2 - 10.1364/FIO.2020.FW1F.3

DO - 10.1364/FIO.2020.FW1F.3

M3 - Conference contribution

AN - SCOPUS:85106000798

T3 - Optics InfoBase Conference Papers

BT - Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020

PB - Optica Publishing Group (formerly OSA)

T2 - 2020 Frontiers in Optics Conference, FiO 2020

Y2 - 14 September 2020 through 17 September 2020

ER -

Anti-spoofing face recognition using infrared structure light

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this