An Unsupervised Face Anti-Spoofing Model Based on Deep Feature Clustering
碩士 === 國立臺灣大學 === 工程科學及海洋工程學研究所 === 107 === With the increasing requirements for face recognition in many authentication systems, how to prevent intruders from accessing the permission via Face Anti-Spoofing（FAS） techniques has become an important research area in biometrics. After the endeavors o...
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/8njtdz |