年齡與性別估計

Age and Gender Estimation

羅智光(Nawwar Ali Jassim Al-Romaithy)

指導教授 ： 傅楸善

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2014年)

https://doi.org/10.6342/NTU.2014.11016

摘要

這篇論文提出使用多重局部補片來估計年齡和性別的方法。我們使用具有旋轉不變性的局部二元模板直方圖當作特徵來訓練支援向量機(SVM)模型。我們進一步的使用局部補片的位移及大小去提升估計的準確性。我們提出的方法不只提供準確的結果同時包含其他方法去進一步提升他們的準確率。

關鍵字

估計年齡 ； 性別分類 ； 機器學習 ； 計算機視覺 ； 當地補丁

並列摘要

A method for estimating age and gender using multiple local patches is proposed in this thesis. We use the histogram of rotation-invariant local binary pattern as our features to train the SVM model. We further introduce the shifting and scaling of the local patches to enhance the accuracy of the estimation. Our proposed method not only provides accurate results but also can be incorporated with other methods to further improve their accuracy.

並列關鍵字

age estimation ； gender classification ； machine learning ； computer vision ； local patches

參考文獻

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