【摘要】：采用幾何信息和紋理信息融合的混合特征,基于自回歸(AR)模型,提出一種基于線段的相似度判決方法實(shí)現(xiàn)動態(tài)表情識別.首先在6種基本表情的圖像序列訓(xùn)練集上進(jìn)行訓(xùn)練得到6種AR模型,然后給定測試表情序列,對每一個(gè)測試序列通過6種AR模型生成6種預(yù)測序列,接著比較每種預(yù)測序列與實(shí)際給定序列的相似性,最終根據(jù)相似性判斷所給序列的表情類別.為了更好地比較預(yù)測序列與給定序列的相似性,提出了一種基于線段的相似度判決方法.基于Cohn-Kanade+人臉表情庫進(jìn)行實(shí)驗(yàn)結(jié)果表明,該方法在動態(tài)表情識別上取得了良好的效果.
[Abstract]:Based on the autoregressive (AR) model, a similarity decision method based on line segments is proposed to realize dynamic facial expression recognition based on the hybrid features of geometric information and texture information fusion. At first, six kinds of AR models are trained on the image sequence training set of six basic expressions. Then, given the test expression sequence, six prediction sequences are generated for each test sequence through six AR models. Then, the similarity between each predicted sequence and the actual given sequence is compared, and the facial expression category of the given sequence is determined according to the similarity. In order to better compare the similarity between predicted sequences and given sequences, a similarity decision method based on line segments is proposed. The experimental results based on Cohn-Kanade facial expression database show that the proposed method is effective in dynamic facial expression recognition.
【作者單位】： 華中師范大學(xué)國家數(shù)字化學(xué)習(xí)工程技術(shù)研究中心;華中師范大學(xué)教育信息技術(shù)協(xié)同創(chuàng)新中心;
【基金】：國家社會科學(xué)基金(16BSH107)
【分類號】：TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前8條

1 王大偉;周軍;梅紅巖;張素娥;;人臉表情識別綜述[J];計(jì)算機(jī)工程與應(yīng)用;2014年20期

2 羅元;崔葉;王艷;張毅;;基于融合DCT和LBP特征提取的面部表情識別[J];半導(dǎo)體光電;2014年02期

3 易積政;毛峽;Ishizuka Mitsuru;薛雨麗;;基于特征點(diǎn)矢量與紋理形變能量參數(shù)融合的人臉表情識別[J];電子與信息學(xué)報(bào);2013年10期

4 蔣斌;賈克斌;楊國勝;;人臉表情識別的研究進(jìn)展[J];計(jì)算機(jī)科學(xué);2011年04期

5 周書仁;梁昔明;朱燦;楊秋芬;;基于ICA與HMM的表情識別[J];中國圖象圖形學(xué)報(bào);2008年12期

6 詹永照;李婷;周庚濤;;基于混合特征和多HMM融合的圖像序列表情識別[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2008年07期

7 唐京海;張有為;;基于動態(tài)序列特征的人臉表情識別方法[J];計(jì)算機(jī)工程與應(yīng)用;2008年08期

8 劉曉e，

本文編號：2269650