.png){kind=icon}
返回
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
摘要
En 中文
Surface painting is a technique that allows a user to paint a texture directly onto a surface, usually with a texture atlas: a 1: 1 mapping between the surface and its texture image. Many good automatic texture atlas generation methods exist that evenly distribute texture samples across a surface based on its area and/or curvature, and some are even sensitive to the frequency spectrum of the input texture. However, during the surface painting process, the texture can change non-uniformly and unpredictably and even the best atlases are static and can thus fail to reproduce sections of finely painted detail such as surface illustration. We present a new texture atlas algorithm that distributes initial texture samples evenly according to surface area and texture frequency, and, more importantly, maintains this distribution as the texture signal changes during the surface painting process. The running time is further accelerated with a novel GPU implementation of the surface painting process. The redistribution of samples is transparent to the user, resulting in a surface painting system of seemingly unlimited resolution. The atlas construction is local, making it fast enough to run interactively on models containing over 100K faces.
Keyword:
mesh parametrization
face clustering
texture atlas
3D painting
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.5
论文数:
4.7K
被引数:
3.6W
机构
暂无机构信息
引用论文
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
查看更多内容