A Generative Sketch Model for Human Hair Analysis and Synthesis

In this paper, we present a generative sketch model for human hair analysis and synthesis. We treat hair images as 2D piecewisely smooth vector (flow) fields, and thus our representation is view-based in contrast to the physically based 3D hair models in graphics. The generative model has three levels. The bottom level is the high frequency band of the hair image. The middle level is a piecewisely smooth vector field for the hair orientation, gradient strength, and growth directions. The top level is an attribute sketch graph for representing the discontinuities in the vector field. A sketch graph typically has a number of sketch curves which are divided into 11 types of directed primitives. Each primitive is a small window (say 5

• Type: Journal
• Year: 2006
• Where: PAMI
• Authors: Hong Chen, Song Chun Zhu
• Keywords: Hair, Hair Images, PAMI 2006, Sketch Graph