A semi-supervised face recognition system for detecting intruders
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 97 === In this thesis, we will present a semi-supervised face recognition system for detecting intruders. In general, the processing of face recognition systems can be divided into two phases: training and recognition. When the classifier training is completed, the s...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/87209407381863569720 |