一级黄色片免费播放|中国黄色视频播放片|日本三级a|可以直接考播黄片影视免费一级毛片

高級搜索

留言板

尊敬的讀者、作者、審稿人, 關(guān)于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復(fù)。謝謝您的支持!

姓名
郵箱
手機號碼
標(biāo)題
留言內(nèi)容
驗證碼

基于動態(tài)時間規(guī)整和主動外觀模型的動態(tài)表情識別

許良鳳 王家勇 崔婧楠 胡敏 張柯柯 滕文娣

許良鳳, 王家勇, 崔婧楠, 胡敏, 張柯柯, 滕文娣. 基于動態(tài)時間規(guī)整和主動外觀模型的動態(tài)表情識別[J]. 電子與信息學(xué)報, 2018, 40(2): 338-345. doi: 10.11999/JEIT170416
引用本文: 許良鳳, 王家勇, 崔婧楠, 胡敏, 張柯柯, 滕文娣. 基于動態(tài)時間規(guī)整和主動外觀模型的動態(tài)表情識別[J]. 電子與信息學(xué)報, 2018, 40(2): 338-345. doi: 10.11999/JEIT170416
XU Liangfeng, WANG Jiayong, CUI Jingnan, HU Min, ZHANG Keke, TENG Wendi. Dynamic Expression Recognition Based on Dynamic Time Warping and Active Appearance Model[J]. Journal of Electronics & Information Technology, 2018, 40(2): 338-345. doi: 10.11999/JEIT170416
Citation: XU Liangfeng, WANG Jiayong, CUI Jingnan, HU Min, ZHANG Keke, TENG Wendi. Dynamic Expression Recognition Based on Dynamic Time Warping and Active Appearance Model[J]. Journal of Electronics & Information Technology, 2018, 40(2): 338-345. doi: 10.11999/JEIT170416

基于動態(tài)時間規(guī)整和主動外觀模型的動態(tài)表情識別

doi: 10.11999/JEIT170416
基金項目: 

國家自然科學(xué)基金(61300119, 61432004),安徽省自然科學(xué)基金(1408085MKL16)

Dynamic Expression Recognition Based on Dynamic Time Warping and Active Appearance Model

Funds: 

The National Natural Science Foundation of China (61300119, 61432004), The National Natural Science Foundation of Anhui Province (1408085MKL16)

  • 摘要: 針對靜態(tài)表情特征缺乏時間信息,不能充分體現(xiàn)表情的細(xì)微變化,該文提出一種針對非特定人的動態(tài)表情識別方法:基于動態(tài)時間規(guī)整(Dynamic Time Warping, DTW)和主動外觀模型(Active Appearance Model, AAM)的動態(tài)表情識別。首先采用基于局部梯度DT-CWT(Dual-Tree Complex Wavelet Transform)主方向模式(Dominant Direction Pattern, DDP)特征的DTW對表情序列進行規(guī)整。然后采用AAM定位出表情圖像的66個特征點并進行跟蹤,利用中性臉的特征點構(gòu)建人臉幾何模型,通過人臉幾何模型的匹配克服不同人呈現(xiàn)表情的差異,并通過計算表情序列中相鄰兩幀圖像對應(yīng)特征點的位移獲得表情的變化特征。最后采用最近鄰分類器進行分類識別。在CK+庫和實驗室自建庫HFUT-FE(HeFei University of Technology-Face Emotion)上的實驗結(jié)果表明,所提算法具有較高的準(zhǔn)確性。
  • 於俊, 汪增福, 李睿. 一種同步人臉運動跟蹤與表情識別算法[J]. 電子學(xué)報, 2015, 43(2): 371-376. doi: 10.3969/j.issn. 0372-2112.2015.02.025.
    MEHRABIAN A. Communication without words[J]. Psychological Today, 1968, 2: 53-55.
    YU Jun, WANG Zengfu, and LI Rui. A simultaneous facial motion tracking and expression recognition algorithm[J]. Acta Electronica Sinica, 2015, 43(2): 371-376. doi: 10.3969/ j.issn.0372-2112.2015.02.025.
    JIA J, XU Y, ZHANG S, et al. The facial expression recognition method of random forest based on improved PCA extracting feature[C]. IEEE International Conference on Signal Processing, Communications and Computing, Hong Kong, China. 2016: 1-5. doi: 10.1109/ICSPCC.2016.7753643.
    REN Fuji and HUANG Zhong. Facial expression recognition based on AAM-SIFT and adaptive regional weighting[J]. IEEE Transactions on Electrical Electronic Engineering, 2015, 10(6): 713-722. doi: 10.1002/tee.22151.
    LI Y, REN F, and HU M. Facial expression recognition based on DT-CWT and weighted inverse cloud model[C]. Modelling, Simulation and Identification 841: Intelligent Systems and Control, Campinas, Brazil. 2016: 380-388. doi: 10.2316/P. 2016.841-010.
    ZHAO Guoying and PIETIKAINEN Matti. Dynamic texture recognition using local binary patterns with an application to facial expressions[J]. IEEE Transactions on Pattern Analysis Machine Intelligence, 2007, 29(6): 915-928.
    JIANG Bihan, VALSTAR Member, MARTINEZ Brais, et al. A dynamic appearance descriptor approach to facial actions temporal modeling[J]. IEEE Transactions on Cybernetics, 2014, 44(2): 161-174. doi: 10.1109/tcyb.2013.2249063.
    TAHERI Sima, QIU Qiang, and CHELLAPPA Rama. Structure-preserving sparse decomposition for facial expression analysis[J]. IEEE Transactions on Image Processing, 2014, 23(8): 3590-3603. doi: 10.1109/tip.2014. 2331141.
    FAN Xijian and TJAHJADI Tardi. A spatial-temporal framework based on histogram of gradients and optical flow for facial expression recognition in video sequences[J]. Pattern Recognition, 2015, 48(11): 3407-3416. doi: 10.1016/j. patcog.2015.04.025.
    施毅. 基于主動外觀模型的人臉表情識別研究[D]. [碩士論文], 上海交通大學(xué), 2012.
    SHI Yi. Facial expression recognition based on active appearance models[D]. [Master dissertation], Shanghai Jiao Tong University, 2012.
    CHEON Yeongjae and KIM Daijin. Natural facial expression recognition using differential-AAM and manifold learning[J]. Pattern Recognition, 2009, 42(7): 1340-1350. doi: 10.1016/ j.patcog.2008.10.010.
    LEE Yonghwan, HAN Wuri, KIM Youngseop, et al. Robust emotion recognition algorithm for ambiguous facial expression using optimized AAM and k-NN[J]. International Journal of Security Its Applications, 2014, 8(5): 203-212. doi: 10.14257/ijsia.2014.8.5.19.
    HIYADI H, ABABSA F, MONTAGNE C, et al. Combination of HMM and DTW for 3D Dynamic gesture recognition using depth only[C]. Informatics in Control, Automation and Robotics 12th International Conference, ICINCO 2015, Colmar, France, 2016: 229-245. doi: 10.1007/978-3-319- 31898-1_13.
    傅穎, 郭晶云. 基于動態(tài)時間規(guī)整的人體動作識別方法[J]. 電子測量技術(shù), 2014, 37(3): 69-72. doi: 10.3969/j.issn.1002-7300. 2014.03.018.
    FU Ying and GUO Jingyun. Dynamic time warping-based human action recognition[J]. Electronic Measurement Technology, 2014, 37(3): 69-72. doi: 10.3969/j.issn.1002-7300. 2014.03.018.
    宋怡煥, 饒秀勤, 應(yīng)義斌. 基于DT-CWT和LS-SVM的蘋果果梗/花萼和缺陷識別[J]. 農(nóng)業(yè)工程學(xué)報, 2012, 28(9): 114-118. doi: 10.3969/j.issn.1002- 6819.2012.09.019.
    SONG Yihuan, RAO Xiuqin, and YING Yibing. Apple stem/ calyx and defect discrimination using DT-CWT and LS-SVM [J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(9): 114-118. doi: 10.3969/j.issn.1002- 6819.2012.09.019.
    胡敏, 朱弘, 王曉華, 等. 基于梯度Gabor直方圖特征的表情識別方法[J]. 計算機輔助設(shè)計與圖形學(xué)學(xué)報, 2013, 25(12): 1856-1861.
    HU Min, ZHU Hong, WANG Xiaohua, et al. Expression recognition method based on gradient Gabor histogram features[J]. Journal of Computer-Aided Design Computer Graphics, 2013, 25(12): 1856-1861.
    LIU Jun, JING Xiaojun, SUN Songlin, et al. Local gabor dominant direction pattern for face recognition[J]. Chinese Journal of Electronics, 2015, 24(2): 245-250. doi: 10.1049/cje. 2015.04.004.
    HUANG M W, WANG Z W, and YING Z L. A new method for facial expression recognition based on sparse representation plus LBP[C]. IEEE International Congress on Image and Signal Processing, Yantai, China, 2010: 1750-1754. doi: 10.1109/cisp.2010.5647898.
    WANG Zhen and YING Zilu. Facial expression recognition based on local phase quantization and sparse representation [J]. IEEE International Conference on Natural Computation, 2012, 2: 222-225. doi: 10.1109/icnc.2012.6234551.
    ZHANG Shiqing, ZHAO Xiaoming, and LEI Bicheng. Robust facial expression recognition via compressive sensing[J]. Sensors, 2012, 12(3): 3747-3761. doi: 10.3390/s120303747.
  • 加載中
計量
  • 文章訪問數(shù):  1140
  • HTML全文瀏覽量:  197
  • PDF下載量:  150
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2017-05-05
  • 修回日期:  2017-11-08
  • 刊出日期:  2018-02-19

目錄

    /

    返回文章
    返回