电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2011年
24期
150-153
,共4页
亮度检测%表情特征提取%Fisher线性判别%支持向量机
亮度檢測%錶情特徵提取%Fisher線性判彆%支持嚮量機
량도검측%표정특정제취%Fisher선성판별%지지향량궤
brightness detecting%expression feature extraction%Fisher Linear Discriminant （FLD） analysis%Support Vector Machine （SVM）
针对包含表情信息的静态图像，提出基于皮肤检测和SVM的人脸表情识别算法。首先根据先验知识，并使用皮肤检测和积分投影相结合定位眉毛眼睛区域和嘴巴区域，自动分割出表情子区域。接着，对分割出的表情子区域进行Gabor小波特征提取，在利用Fisher线性判别对特征进行降维，去除冗余和相关。最后利用支持向量机对人脸表情进行分类。用该算法在日本表情数据库上进行测试，获得了较高的识别准确率。证明了该算法的有效性。
針對包含錶情信息的靜態圖像，提齣基于皮膚檢測和SVM的人臉錶情識彆算法。首先根據先驗知識，併使用皮膚檢測和積分投影相結閤定位眉毛眼睛區域和嘴巴區域，自動分割齣錶情子區域。接著，對分割齣的錶情子區域進行Gabor小波特徵提取，在利用Fisher線性判彆對特徵進行降維，去除冗餘和相關。最後利用支持嚮量機對人臉錶情進行分類。用該算法在日本錶情數據庫上進行測試，穫得瞭較高的識彆準確率。證明瞭該算法的有效性。
침대포함표정신식적정태도상，제출기우피부검측화SVM적인검표정식별산법。수선근거선험지식，병사용피부검측화적분투영상결합정위미모안정구역화취파구역，자동분할출표정자구역。접착，대분할출적표정자구역진행Gabor소파특정제취，재이용Fisher선성판별대특정진행강유，거제용여화상관。최후이용지지향량궤대인검표정진행분류。용해산법재일본표정수거고상진행측시，획득료교고적식별준학솔。증명료해산법적유효성。
A facial recognition algorithm based on Skin detecting and SVM to still image containing expression Information was introduced. Firstly, skin detecting algorithm combined with projection to locate the eye region and the mouth region, which can segment the expression sub-regions automatically. Secondly, features of the expression sub-regions were extracted by Gabor wavelet transformation and then effective Gabor expression features were selected by Fisher Linear Discriminat （FLD） to deduce the dimension and redundancy of the features. Finally, the features were sent to Support Vector Machine （SVM） to classify the different expressions. The algorithm was tested on Japanese female expression database. It can get a high precision of recognition. The feasibility of this method has been verified by experiments.
