Generalized multi-modal for face anti-spoofing
In recent years, the research community has developed and proposed various face anti-spoofing models that involves multiple modalities. The demand for these methods continue to rise due to advancement of sensors and increasing usage of biometric security. However, there has been no re...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157907 |
| _version_ | 1826126777623248896 |
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| author | Muhammad Hazeeq Abdul Rahman |
| author2 | Alex Chichung Kot |
| author_facet | Alex Chichung Kot Muhammad Hazeeq Abdul Rahman |
| author_sort | Muhammad Hazeeq Abdul Rahman |
| collection | NTU |
| description | In recent years, the research community has developed and proposed various face anti-spoofing models that involves multiple modalities. The demand for these methods continue to rise due to advancement of sensors and increasing usage of biometric security. However, there has been no research on compressed multi-modality face anti-spoofing methods that can offer good generalization performance. This project proposes a compressed multi-modality face anti-spoofing model based on an existing state-of-the-art method. The proposed model requires a lower amount of computational resource and has a much shorter inference time, suitable for deployment to edge devices. It manages to obtain comparable performance to that of the state-of-the-art face anti-spoofing model. |
| first_indexed | 2024-10-01T06:57:53Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/157907 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:57:53Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1579072023-07-07T19:10:40Z Generalized multi-modal for face anti-spoofing Muhammad Hazeeq Abdul Rahman Alex Chichung Kot School of Electrical and Electronic Engineering EACKOT@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Engineering::Electrical and electronic engineering Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence In recent years, the research community has developed and proposed various face anti-spoofing models that involves multiple modalities. The demand for these methods continue to rise due to advancement of sensors and increasing usage of biometric security. However, there has been no research on compressed multi-modality face anti-spoofing methods that can offer good generalization performance. This project proposes a compressed multi-modality face anti-spoofing model based on an existing state-of-the-art method. The proposed model requires a lower amount of computational resource and has a much shorter inference time, suitable for deployment to edge devices. It manages to obtain comparable performance to that of the state-of-the-art face anti-spoofing model. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-25T05:53:04Z 2022-05-25T05:53:04Z 2021 Final Year Project (FYP) Muhammad Hazeeq Abdul Rahman (2021). Generalized multi-modal for face anti-spoofing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157907 https://hdl.handle.net/10356/157907 en A3095-211 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Engineering::Electrical and electronic engineering Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Muhammad Hazeeq Abdul Rahman Generalized multi-modal for face anti-spoofing |
| title | Generalized multi-modal for face anti-spoofing |
| title_full | Generalized multi-modal for face anti-spoofing |
| title_fullStr | Generalized multi-modal for face anti-spoofing |
| title_full_unstemmed | Generalized multi-modal for face anti-spoofing |
| title_short | Generalized multi-modal for face anti-spoofing |
| title_sort | generalized multi modal for face anti spoofing |
| topic | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Engineering::Electrical and electronic engineering Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | https://hdl.handle.net/10356/157907 |
| work_keys_str_mv | AT muhammadhazeeqabdulrahman generalizedmultimodalforfaceantispoofing |