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Face boundary extraction by statistical constraint active contour model

机译:统计约束主动轮廓模型面部边界提取

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摘要

Facial feature detection Is very Important In face recognition literature. In this paper, we propose a facial boundary extraction method, which include two steps. Firstly, the facial geometry feature, such as eye, mouth, nose, is detected by eigenfeature method. Secondly, under the help of geometry feature, the face boundary can be extracted by statistical constraint active contour model (SCACM) and repeating Initialization. The experiment shows the proposed method is effective.
机译:面部特征检测在人脸识别文献中非常重要。在本文中,我们提出了一种面部边界提取方法,包括两个步骤。首先,通过特征性方法检测面部几何特征,如眼睛,嘴巴,鼻子。其次,在几何特征的帮助下,可以通过统计约束主动轮廓模型(SCACM)来提取面部边界并重复初始化。实验表明所提出的方法是有效的。

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