基于特征的中性和表情丰富面部图像中的面部地标检测。
Feature-based detection of facial landmarks from neutral and expressive facial images.
作者信息
Gizatdinova Yulia, Surakka Veikko
机构信息
Research Group for Emotions, Sociality, and Computing, Tampere Unit for Computer-Human Interaction, Department of Computer Sciences, University of Tampere, Tampere, FIN-33014, Finland.
出版信息
IEEE Trans Pattern Anal Mach Intell. 2006 Jan;28(1):135-9. doi: 10.1109/TPAMI.2006.10.
Feature-based method for detecting landmarks from facial images was designed. The method was based on extracting oriented edges and constructing edge maps at two resolution levels. Edge regions with characteristic edge pattern formed landmark candidates. The method ensured invariance to expressions while detecting eyes. Nose and mouth detection was deteriorated by happiness and disgust.
设计了一种基于特征的从面部图像中检测地标的方法。该方法基于提取定向边缘并在两个分辨率级别构建边缘图。具有特征边缘模式的边缘区域形成地标候选。该方法在检测眼睛时确保对表情具有不变性。快乐和厌恶会使鼻子和嘴巴的检测变差。
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