[1]彭程,刘帅师,万川,等.基于局部纹理ASM模型的人脸表情识别[J].智能系统学报,2011,6(03):231-238.
 PENG Cheng,LIU Shuaishi,WAN Chuan,et al.An active shape model for facial expression recognition based on a local texture model[J].CAAI Transactions on Intelligent Systems,2011,6(03):231-238.
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基于局部纹理ASM模型的人脸表情识别(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第6卷
期数:
2011年03期
页码:
231-238
栏目:
出版日期:
2011-06-25

文章信息/Info

Title:
An active shape model for facial expression recognition based on a local texture model
文章编号:
1673-4785(2011)03-0231-08
作者:
彭程1刘帅师1万川1田彦涛12
1.吉林大学 通信工程学院,吉林 长春 130025;
2.吉林大学 工程仿生教育部重点实验室,吉林 长春 130025
Author(s):
PENG Cheng1 LIU Shuaishi1 WAN Chuan1 TIAN Yantao12
1.School of Communication Engineering, Jilin University, Changchun 130025, China;
 2. Key Laboratory of Bionic Engineering (Jilin University), Ministry of Education, Changchun 130025, China
关键词:
人脸表情识别主动形状模型局部纹理模型RBF神经网络分类器
Keywords:
facial expression recognition active shape model local texture model RBF neural network classifier
分类号:
TP391
文献标志码:
A
摘要:
针对主动形状模型(ASM)迭代过程容易陷入局部最优解的不足,提出了一种基于局部纹理模型的改进ASM算法,即EWASM.在局部纹理模型构建中,以每个特征点的中垂线方向搜索其邻域信息以确定最佳匹配位置,对衡量匹配程度的马氏距离加以推广,进而得到改进的扩展加权局部纹理模型,它由中心局部纹理模型、前局部纹理模型和后局部纹理模型共3个子模型加权组成,并对加权参数进行实验优化,使各个特征点之间的联系更加紧密,模型的鲁棒性更好.通过表情识别实验对提出的EWASM算法和传统ASM算法进行对比,选用RBF神经网络分类器进行表情分类,实验结果表明EWASM算法收敛速度更快,识别率也得以提高,并解决了局部最小问题,能更有效地表征表情.
Abstract:
An improved active shape model(ASM) called EWASM (expanded weighted ASM) based on a local texture model was proposed because EWASM overcomes the disadvantage that the active shape model is easy to involve in local optimal solution in the iterative process. In the local texture model, searching adjacent information of each landmark along its perpendicular bisector made the match position best. It improved and promoted Mahalanobis distance which measured the matching degree. Then the local texture model was extended to include the center local texture model, forward local texture model, and backward local texture model. After that, the weighted parameters were optimized experimentally. Thus each landmark is more closely related and the local texture model is more robust. Finally facial expression recognition experiments were conducted comparing EWASM with classical ASM, and a RBF neural network was used as a classification in the expression recognition. Experiments show that the EWASM algorithm solved the local minimum problem and achieved a better convergence rate and recognition effect. 

参考文献/References:

[1]COOTES T F, TAYLOR C J. Active shape models—their training and application[J]. Computer Vision and Image Understanding, 1995, 61(1): 3859.
[2]COOTES T F, TAYLOR C J, EDWARDS G J. Active appearance models[C]//European Conference on Computer Vision. Berlin, Germany, 1998: 484498.
[3]MATTHEWS I, BAKER S. Active appearance models revisited[J]. International Journal of Computer Vision, 2004, 60(2): 135164.
[4]ROGERS M, GRAHAM J. Robust active shape model search[J]. Lecture Notes in Computer Science, 2002, 2353: 517530.
[5]Van GINNEKEN B, FRANGI A F, STAAL J J, et al. Active shape model segmentation with optimal features[J]. IEEE Transactions on Medical Imaging, 2002, 21(8): 924933.
[6]KOENDERINK J J, Van DOORN A J. The structure of locally orderless images[J]. International Journal of Computer Vision, 1999, 31(2/3): 159168.
[7]FARUQUIE T A, MAJUMDAR A, RAJPUT N, et al. Large vocabulary audiovision speech recognition using active shape models[C]//International Conference on Pattern Recognition. Barcelona, Spain, 2000: 38.
[8]HAMARNEH G, GUSTAVSSON T. Deformable spatialtemporal shape models: extending ASM to 2D+time[C]//British Machine Vision Conference. Manchester, UK, 2001: 1322.
[9]李皓,谢琛,唐朝京.改进的多模版ASM人脸面部特征定位算法[J].计算机辅助设计与图形学学报, 2010, 22(10): 17621768.
LI Hao, XIE Chen, TANG Chaojing. An improved algorithm for facial feature location by multitemplate ASM[J]. Journal of Computeraided Design & Computer Graphics, 2010, 22(10): 17621768.
[10]CHEN S Y, ZHANG J, GUAN Q, et al. Detection and amendment of shape distortions based on moment invariants for active shape models[J]. IET Image Processing, 2011, 5(3): 273285.
 [11]冀贞海,孙宁,邹采荣,等.基于加权主动形状建模的人脸特征定位方法[J].电子与信息学报, 2007, 29(4): 800803.
 JI Zhenhai, SUN Ning, ZOU Cairong, et al. Face alignment based on weighted active shape models[J]. Journal of Electronics & Information Technology, 2007, 29(4): 800803.
[12]孙正兴,姚伟.从视频中恢复三维人脸实时方法[J].智能系统学报, 2009, 4(5): 427432.
 SUN Zhengxing, YAO Wei. A realtime method for recovering 3D faces from monocular video[J]. CAAI Transactions on Intelligent Systems, 2009, 4(5): 427432.
[13]COOTES T F, HILL A, TAYLOR C J, et al. The use of active shape models for locating structures in medical images[J]. Image and Vision Computing, 1994, 12(6): 355366.

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备注/Memo

备注/Memo:
收稿日期: 2010-11-26.
基金项目:吉林省科技发展计划重点资助项目(20071152);吉林大学“985工程”工程仿生科技创新平台项目资助;吉林大学研究生创新基金资助项目(20101027).
通信作者:田彦涛.E-mail: tianyt@jlu.edu.cn.
作者简介:
彭程,女,1987年生,硕士研究生,主要研究方向为模式识别、计算机视觉.
刘帅师,女,1981年生,博士研究生,主要研究方向为模式识别、计算机视觉.
万川,男,1985年生,博士研究生,主要研究方向为模式识别、计算机视觉.
田彦涛,男,1958年生,教授、博士生导师、博士.吉林大学自动化研究所所长,中国自动化学会理事,中国自动化学会机器人专业委员会常务委员,吉林省自动化学会理事长,吉林省通信学会副理事长,吉林省电机工程学会常务理事,中科院沈阳自动化研究所先进制造技术实验室学术委员会委员,中国自动化学会《机器人》学报编委,《吉林大学学报(信息科学版)》副主编.主要研究方向为复杂系统建模、优化与控制、机器视觉与模式识别等.近5年,完成国家“863”计划项目1项、国家自然科学基金项目1项、吉林省科技发展计划项目3项、国家“863”智能机器人网点实验室基金项目1项;目前负责承担国家“863”计划项目和国家自然科学基金项目等国家级科研项目3项、吉林省科技发展计划重点项目3项.曾被评为国家机械部“优秀科技青年”、机械部和教育部跨世纪学科带头人,2004年被评为吉林省拔尖创新人才.发表学术论文70余篇.
更新日期/Last Update: 2011-07-23