Automatic recognition of human facial expressions
Automatic recognition of human facial expressions
复制标题
自动识别人类面部表情
DOI：
10.1109/iccv.1995.466917
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
Saburo Tsuji
中科院分区：
文献类型：
--
作者：
Katsuhiro Matsuno;Chil;Satoshi Kimura;Saburo Tsuji
本文提出了一个新的想法，用于检测输入图像中未知的人脸，并认识到他/她的面部表情在二维网的变形中表示，称为潜在网。该方法涉及面部信息，表情和表达式，作为净面部单个输入图像中边缘激活的整体模式，而不是来自面部器官形状或其几何关系的变化。我们从不同表达式的训练集中的面部图像中的变形模式中构建了面部表情模型，然后将它们投射到情感空间中。可以从图像中的网络投影中识别出未知主题的表达。潜在的网被进一步用于建模普通人的面孔。代表网中能量的马赛克方法用作寻找面部区域的候选者的模板，并通过将其投射到情感空间中以选择决赛入围者来验证候选者的表面。面部的精确位置由边缘垂直和水平投影的直方图分析确定。<< etx >>
The paper presents a new idea for detecting an unknown human face in input imagery and recognizing his/her facial expression represented in the deformation of the two dimensional net, called potential net. The method deals with the facial information, faceness and expressions, as an overall pattern of the net activated by edges in a single input image of face, rather than from changes in the shape of the facial organs or their geometrical relationships. We build models of facial expressions from the deformation patterns in the potential net for face images in the training set of different expressions and then project them into emotion space. Expression of an unknown subject can be recognized from the projection of the net for the image into the emotion space. The potential net is further used to model the common human face. The mosaic method representing energy in the net is used as a template for finding candidates for the face area and the candidates are verified their faceness by projecting them into emotion space in order to select the finalist. Precise location of the face is determined by the histogram analysis of vertical and horizontal projections of edges.<<ETX>>