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GPU-based 3D model rendering of chinese ink painting

机译:基于GPU的3D模型渲染的中国墨水绘画

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摘要

In computer graphics, non-photorealistic rendering(NPR) is an important branch. NPR technology is to achieve a variety of artistic effects through the computer, such as oil painting, cartoon, watercolor and other effects. The purpose of this paper is to automatically convert the 3D model into two-dimensional Chinese ink painting effect on graphics processing unit(GPU), and has improved the traditional algorithm that has some lacks of rendering effect. The algorithm is divided into two major steps: contour line rendering, and interior rendering. For contour line rendering, on the basis of the traditional extraction of contours, this paper adds self-bold, particle diffusion and other steps. For interior rendering, on the basis of the traditional layered rendering of diffuse lighting, two methods are added. The first method is based on the mean filtering, and the filter kernel is stratified by the principle of percentage-closer soft shadows(PCSS). The second method is Noise texture mapping, to obtain an ink diffusion effect.
机译:在计算机图形学中,非照片拟真渲染(NPR)是一个重要的分支。 NPR技术是通过计算机实现各种艺术效果,如油画,卡通,水彩等效果。本文的目的是自动将3D模型转换为对图形处理单元(GPU)的二维中文绘画效果,并改善了传统算法,其缺乏渲染效果。该算法分为两个主要步骤:轮廓线渲染和内部渲染。对于轮廓线渲染,在传统的轮廓提取的基础上,本文增加了自主的,粒子扩散和其他步骤。对于内部渲染,在传统的漫射照明的分层渲染的基础上,添加了两种方法。第一种方法基于平均滤波,并且通过较近较近的软阴影(PCS)的原理来分层滤波器内核。第二种方法是噪声纹理映射,以获得墨水扩散效果。

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