Detection of Facial Landmarks from Neutral, Happy, and Disgust Facial Images
Detection of Facial Landmarks from Neutral, Happy, and Disgust Facial Images
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从中性、快乐和厌恶的面部图像中检测面部特征
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Veikko Surakka
中科院分区：
文献类型：
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作者：
Ioulia Guizatdinova;Veikko Surakka
最近，为了提高人机交互的质量，人们对显示不同表情的人脸进行了自动分析。在这个框架中，表情不变的人脸分割是任何基于视觉的交互方案的关键一步。提出了一种从中性和富于表情的人脸图像中检测人脸标志点的方法。在目前的研究中，特别强调了如何处理快乐和厌恶的表情。使用包括中性、快乐和厌恶图像的数据集测试了这些表情对所开发方法的影响。结果表明，从中性图像中检测地标具有较高的准确率。然而，快乐和厌恶的表情对地标检测的影响越来越差。
Automated analysis of faces showing different expressions has been recently studied to improve the quality of human-computer interaction. In this framework, the expression-invariant face segmentation is a crucial step for any vision-based interaction scheme. A method for detecting facial landmarks from neutral and expressive facial images was proposed. In present study, a particular emphasis was given to handling expressions of happiness and disgust. The impact of these expressions on the developed method was tested using dataset including neutral, happiness and disgust images. The results demonstrated a high accuracy in detecting landmarks from neutral images. However, the expressions of happiness and disgust had a deteriorating effect on the landmark detection.