人脸特征提取用于人脸解释和识别

Q4 Computer Science

模式识别与人工智能 Pub Date : 1992-12-01 DOI:10.1109/ICPR.1992.201755

Chung-Lin Huang, Ching-Wen Chen

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引用次数: 183

摘要

提出了一种可用于人脸自动视觉判读和识别的人脸特征提取算法。由于眼睛和嘴的形状具有可解析性，因此可以利用可变形模板模型来捕获眼睛和嘴的轮廓。然而，眉毛、鼻孔和脸部的形状很难用可变形的模板来建模。它们是通过使用一个活动轮廓模型——蛇——来提取的。

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Human facial feature extraction for face interpretation and recognition

This paper presents facial features extraction algorithms which can be used for automated visual interpretation and recognition of human faces. It is possible to capture the contours of eye and mouth by deformable template model because of their analytically describable shapes. However, the shapes of eyebrow, nostril and face are difficult to model using a deformable template. They are extracted by using an active contour model, the snake.<>

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来源期刊

模式识别与人工智能 Computer Science-Artificial Intelligence

CiteScore

1.60

自引率

0.00%

发文量

3316

期刊介绍：