CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation-Reference-Cited by-同舟云学术

CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation

Author:

Kim Yongrae¹,Gwak Hyunmin²,Oh Jaehoon³,Kang Minho⁴,Kim Jinkyu¹^ORCID,Kwon Hyun⁵,Kim Sunghwan³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Korea University, Seoul, South Korea

2. Mustree Company Ltd., Seoul, South Korea

3. Department of Applied Statistics, Konkuk University, Seoul, South Korea

4. Department of Physics, Korea University, Seoul, South Korea

5. Department of Artificial Intelligence and Data Science, Korea Military Academy, Seoul, South Korea

Funder

National Research Foundation of Korea (NRF) through the Ministry of Education, Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference46 articles.

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4. HDLHC: Hybrid Face Anti-Spoofing Method Concatenating Deep Learning and Hand-Crafted Features;2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT);2023-07-21