Face boundary extraction by statistical constraint active contour model

被引：0

作者：

Sun, DR ^{[1
]}

Wu, LN ^{[1
]}

机构：

[1] SE Univ, Multimedia Res Ctr, Dept Radio Engn, Nanjing 210096, Peoples R China

来源：

PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2 | 2003年

关键词：

face recognition; feature detection; eigenface; SCACM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：1274 / 1276

页数：3

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