A Perceptually-Based NPR Framework for Synthesizing Impressionist Paintings

• Main Authors: Qi Zhu, 祝琪
• Other Authors: Zen-Chung Shih
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/21896810893703803533

碩士 === 國立交通大學 === 資訊科學系所 === 93 === Painterly rendering has drawn many experts’ attention. However, the state of the art is neither systematic nor evaluative. In this thesis, a perceptually-based NPR framework for painterly rendering is presented. The framework consists of three sub-systems: primitive mapping system, rendering system and mark system. The primitive mapping system responds for mapping between various scene primitives (2D region, 1D line and 0D point); the rendering system takes charge of synthesizing different painterly styles based on various scene primitives; the mark system gives the actual physical implementation of the strokes generated by the rendering system. Each sub-system is written as an abstract class in C++ language which can be inherited by user to do some custom control. Using this framework, different painterly algorithm can be implemented in this system. Besides, the division of this framework is based on the actual process of painters which means the results generated can be more evaluative in esthetics aspect. In this thesis, Impressionist paintings are synthesized by this framework to show its effectiveness.