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    • 摘要: 发际线是人体头部的一个重要特征,发际线的提取在面部感知应用系统、人体工效学、整形外科学等方面都具有很重要的研究意义和应用价值。基于人体头部的彩色点云模型,提出了直接提取三维发际线的方法,根据人体面貌特征建立人脸局部坐标系,并将点云模型转换到该坐标系下;基于发际线处rgb值突变的特性,对点云模型分层、排序,提取出头部深色部位的边界线点;基于人脸先验知识去噪,得到发际线点,并拟合得发际线。对多个真实的人体头部三维彩色点云模型进行实验,验证了所提方法的有效性。

       

      Abstract: The hairline is an important feature of human head. Hairline extraction has great research significance and application value in face perception systems, ergonomics, plastic surgery, etc. A direct hairline extraction method, which uses 3D head color point cloud, is proposed. First, the point cloud is transformed to a face coordinate system based on human facial features. Second, extract the boundary points of the dark parts through layering and sorting on the basis of the rgb values' mutation near the hairline. Last, filter out noise points among the boundary points according to prior knowledge about human face, and fit the hairline with de-noised boundary points. Actual 3D head color point clouds are used to prove the effectiveness of proposed method.