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Facial Feature Extraction and Image-Based Face Drawing

机译:面部特征提取和基于图像的面部绘制

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摘要

This paper describes algorithms to extract features of facial organs such as eyes, eyebrows, mouth, nose and borders of other parts. Based on these extracted organs, automatic face drawing is generated, which embodies the individual features that the face looks more likely to be so. At first face detection is implemented by using horizontal textures and eigenfaces. After that, the pair of irises are located using Hough-transform and intensity valley correlation. Then other organs are extracted based on the skeleton characteristic of the face. For face drawing generating, contours are rendered with multi-values, facial skin color is smoothed, and features are strengthened in order to get impressive effects.
机译:本文描述了提取面部器官特征的算法,例如眼睛,眉毛,嘴巴,鼻子和其他部位的边界。基于这些提取的器官,将生成自动脸部绘制,这体现了脸部看起来更可能具有个性化特征。首先,通过使用水平纹理和特征脸来实现面部检测。之后,使用霍夫变换和强度谷相关对光圈进行定位。然后根据面部的骨骼特征提取其他器官。为了生成面部绘图,轮廓线会使用多值进行渲染,面部皮肤的颜色会变得平滑,功能也会得到增强,以获得令人印象深刻的效果。

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