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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脸部绘图

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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:本文介绍了提取面部器官等特征的算法,如眼睛,眉毛,嘴巴,鼻子和其他部分的边界。基于这些提取的器官,产生自动面绘制,这体现了面部看起来更可能的个体特征。首先,通过使用水平纹理和特征叶来实现。之后,使用Hough-Transform和Intensity Valley相关性定位该对虹膜。然后基于面部的骨架特性提取其他器官。对于面部绘图产生,轮廓具有多值,平滑面部肤色,并加强特征以获得令人印象深刻的效果。

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