A study of facial gender classification via integrating multiple features
碩士 === 國立臺南大學 === 資訊工程學系碩士班 === 103 === Gender is an important attribute of humanity. Gender information can be used to provide gender-depedent services. In this thesis, an automatically facial gender classification system is proposed using Biologically Inspired Features (BIF) as fundamental feature...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/93523049463832334428 |