Sketch Generation Of Eyes And Brows Based On Classifications

Non-photorealistic rendering is one of the fresh fields and focus researches in computer science at present. Sketch understanding is one of the newest brands in artificial intelligence, also the core of Human–Computer Interaction technology, especially core of pen-based interactive technology. Sketch generation is the inverse process of sketch understanding.This thesis generalized the technology of Non-photorealistic rendering and Sketch generation, and analyzed them, Then new sketch rendering model was designed for brows and eyes based on classifications. At first, this thesis built a rendering model for brows and eyes by intuition and statistic analyses, then defined the draw methods for brows and eyes according to the model, finally implemented it by GDIPLUS drawing technology, and implemented a sketch generation system for brows and eyes. Such conclusion can be confirmed by the experimental results: this rendering model is easy and feasible, and is capable of greatly simplifying the complex course of image process in former sketch generation research, and can achieve expected result.