Three-dimensional hairline extracting based on the color point cloud of human head

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.