论文标题
使用Gabor小波（IVC特刊）编码面部表达式
Coding Facial Expressions with Gabor Wavelets (IVC Special Issue)
论文作者
论文摘要
我们提出了一种从数字图像中提取面部表达信息的方法。该方法使用多方面的多分辨率Gabor滤波器组对面部表达图像进行编码，这些滤波器在地形上有序，并与面部大致对齐。将来自此代码得出的相似性空间与人类观察者从图像的语义等级得出的一个相似性进行了比较。有趣的是，图像衍生的相似性空间的低维结构与情感的Circumplex模型共享组织特征，这表明面部表达的分类和维度表示之间存在桥梁。我们的结果还表明，可以基于输入阶段的面部图像的地形链接多方向，多分辨率Gabor编码来构建面部表达分类器。提出的代码表现出的重要程度的心理合理性也可能在人机界面的设计中有用。
We present a method for extracting information about facial expressions from digital images. The method codes facial expression images using a multi-orientation, multi-resolution set of Gabor filters that are topographically ordered and approximately aligned with the face. A similarity space derived from this code is compared with one derived from semantic ratings of the images by human observers. Interestingly the low-dimensional structure of the image-derived similarity space shares organizational features with the circumplex model of affect, suggesting a bridge between categorical and dimensional representations of facial expression. Our results also indicate that it would be possible to construct a facial expression classifier based on a topographically-linked multi-orientation, multi-resolution Gabor coding of the facial images at the input stage. The significant degree of psychological plausibility exhibited by the proposed code may also be useful in the design of human-computer interfaces.
