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融合局部紋理和形狀特征的人臉表情識別

胡敏 滕文娣 王曉華 許良鳳 楊娟

胡敏, 滕文娣, 王曉華, 許良鳳, 楊娟. 融合局部紋理和形狀特征的人臉表情識別[J]. 電子與信息學(xué)報, 2018, 40(6): 1338-1344. doi: 10.11999/JEIT170799
引用本文: 胡敏, 滕文娣, 王曉華, 許良鳳, 楊娟. 融合局部紋理和形狀特征的人臉表情識別[J]. 電子與信息學(xué)報, 2018, 40(6): 1338-1344. doi: 10.11999/JEIT170799
HU Min, TENG Wendi, WANG Xiaohua, XU Liangfeng, YANG Juan. Facial Expression Recognition Based on Local Texture and Shape Features[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1338-1344. doi: 10.11999/JEIT170799
Citation: HU Min, TENG Wendi, WANG Xiaohua, XU Liangfeng, YANG Juan. Facial Expression Recognition Based on Local Texture and Shape Features[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1338-1344. doi: 10.11999/JEIT170799

融合局部紋理和形狀特征的人臉表情識別

doi: 10.11999/JEIT170799
基金項目: 

國家自然科學(xué)基金項目(61672202, 61432004, 61502141),國家自然科學(xué)基金-深圳聯(lián)合基金重點項目(U1613217),安徽高校省級自然科學(xué)研究重點項目(KJ2017A368)

Facial Expression Recognition Based on Local Texture and Shape Features

Funds: 

The National Natural Science Foundation of China (61672202, 61432004, 61502141), The National Natural Science Foundation of China-Shenzhen Joint Foundation (Key Project) (U1613217), The Key University Science Research Project of Anhui Province (KJ2017A368)

  • 摘要: 針對局部二值模式(LBP)、中心對稱局部二值模式(CS-LBP)和梯度方向直方圖(HOG)的不足進(jìn)行改進(jìn),該文提出中心對稱局部平滑二值模式(CS-LSBP)和絕對梯度方向直方圖(HOAG),并提出一種融合局部紋理特征和局部形狀特征的人臉表情識別方法。該方法首先采用CS-LSBP算子和HOAG算子分別提取人臉表情圖像的局部紋理特征和局部形狀特征,然后使用典型線性分析法(CCA)進(jìn)行特征融合,最后利用支持向量機(jī)(SVM)進(jìn)行表情分類。在JAFFE人臉表情庫和Cohn-Kanade(CK)人臉表情庫上的實驗結(jié)果表明,改進(jìn)的特征提取方法能更加完整、精確地提取圖像的細(xì)節(jié)信息,基于CCA的特征融合方法能充分發(fā)揮特征的表征能力,該文所提人臉表情識別方法取得了較好的分類識別效果。
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  • 文章訪問數(shù):  1612
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  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2017-08-07
  • 修回日期:  2017-12-28
  • 刊出日期:  2018-06-19

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