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Texture Features in Facial Image Analysis

机译:面部图像分析中的纹理特征

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摘要

While features used for texture analysis have been successfully used in some biometric applications, only quite few works have considered them in facial image analysis. Texture-based region descriptors can be very useful in recognizing faces and facial expressions, detecting faces and different facial components, and in other face related tasks. This paper demonstrates this issue by considering the local binary pattern (LBP) as an example of texture-based approach and showing its efficiency in facial image analysis.
机译:虽然用于纹理分析的功能已经成功地用于一些生物识别应用,但只有很少的作品在面部图像分析中考虑了它们。基于纹理的区域描述符在识别面部和面部表情,检测面和不同的面部部件以及其他面部相关任务中非常有用。本文通过考虑本地二进制模式(LBP)作为基于纹理的方法的示例并显示其在面部图像分析中的效率来展示该问题。

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