首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2007) pt.1; 20070826-29; Kuala Lumpur(MY) >Contour Extraction of Facial Feature Components Using Template Based Snake Algorithm
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Contour Extraction of Facial Feature Components Using Template Based Snake Algorithm

机译:基于模板的Snake算法提取人脸特征成分的轮廓

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摘要

We propose a face and completely facial feature extraction model for facial expression applications. This model applies to both face contour detection and face region detection. First, we introduce skin-color filtering using YCbCr color space to extract the skin-color of face the region. Second, the template ACM is modeled by the active contour model. This model is more active than ASM (Active Shape Model). Our algorithm has been tested in experiments with various subjects, producing a good extraction results.
机译:我们提出了一种用于面部表情应用程序的面部和完全面部特征提取模型。该模型适用于面部轮廓检测和面部区域检测。首先,我们介绍使用YCbCr颜色空间进行肤色过滤以提取该区域脸部的肤色。其次,通过主动轮廓模型对模板ACM进行建模。该模型比ASM(活动形状模型)更活跃。我们的算法已在各种主题的实验中进行了测试,产生了良好的提取结果。

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