计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
16期
151-154
,共4页
表情识别%Curvelet变换%小波变换%特征提取
錶情識彆%Curvelet變換%小波變換%特徵提取
표정식별%Curvelet변환%소파변환%특정제취
expression recognition%Curvelet transform%wavelet transform%feature extraction
针对小波变换在提取图像边缘特征上的局限性，提出一种使用Curvelet变换进行边缘纹理特征提取的表情识别方法。Curvelet变换在表达图像的边缘曲线上的奇异性时比小波变换更能得到稀疏的图像表示。在表情识别中，对表情图像使用Curvelet变换得到Curvelet系数作为边缘纹理特征能更好地反映表情的变化，使用K最邻近结点算法进行了识别。结果表明在表情识别中该方法比小波变换更有效。
針對小波變換在提取圖像邊緣特徵上的跼限性，提齣一種使用Curvelet變換進行邊緣紋理特徵提取的錶情識彆方法。Curvelet變換在錶達圖像的邊緣麯線上的奇異性時比小波變換更能得到稀疏的圖像錶示。在錶情識彆中，對錶情圖像使用Curvelet變換得到Curvelet繫數作為邊緣紋理特徵能更好地反映錶情的變化，使用K最鄰近結點算法進行瞭識彆。結果錶明在錶情識彆中該方法比小波變換更有效。
침대소파변환재제취도상변연특정상적국한성，제출일충사용Curvelet변환진행변연문리특정제취적표정식별방법。Curvelet변환재표체도상적변연곡선상적기이성시비소파변환경능득도희소적도상표시。재표정식별중，대표정도상사용Curvelet변환득도Curvelet계수작위변연문리특정능경호지반영표정적변화，사용K최린근결점산법진행료식별。결과표명재표정식별중해방법비소파변환경유효。
For the wavelet transform has limitations to extract features of the edge of the images, a method of the facial expres-sion recognition is proposed that using curvelet transform to extract features of the edge of the images. The curvelet transform can get more representation of sparse images than the wavelet transform on the representation of the singular of the edges of the image curve. The curvelet coefficient that can be got by using the curvelet transform on the facial images as the edge of the tex-ture features can better reflect the changes in the facial expression, and the k-nearest neighbor algorithm is used to recognition different expression in this paper. The result shows that the method proposed in this paper is more effective than the wavelet transform in the expression recognition.
