Automatic generation of hair texture with line integral convolution
Xiaoyang Mao, Makoto Kikukawa, Kouichi Kashio, Atsumi Imamiya · 2002
Synthesis of hair images is one of the most important and challenging computer graphics problems. We propose a new technique for automatically generating realistic human hair texture on 3D models of human characters. The idea is inspired by the similarity between the texture of human hair and the texture generated by the LIC algorithm. The proposed technique generates the texture of human hair using the vector field defining the directions of hair strands as the input to the 3D LIC algorithm.